1. General 3-D Type-II Fuzzy Logic Systems in the Polar Frame: Concept and Practice
Author(s): H Zakeri, F M Nejad, A Fahimifar
2. Survey of Fuzzy Min–Max Neural Network for Pattern Classification Variants and Applications
Author(s): O N Al Sayaydeh, M F Mohammed, C P Lim
3. A Novel Finite-Time Adaptive Fuzzy Tracking Control Scheme for Nonstrict Feedback Systems
Author(s): Y Liu, X Liu, Y Jing, Z Zhang
4. Dissipativity-Preserving Model Reduction for Takagi–Sugeno Fuzzy Systems
Author(s): Y Ren, Q Li, D-W Ding, X Xie
5. Quality Control Process Based on Fuzzy Random Variables
Author(s): G Hesamian, M G Akbari, R Yaghoobpoor
6. Multiobjective $H_{2}/H_{\infty }$ Control Design of the Nonlinear Mean-Field Stochastic Jump-Diffusion Systems via Fuzzy Approach
Author(s): C-F Wu, B-S Chen, W Zhang
7. A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity
Author(s): J Cozar, A Fernandez, F Herrera, J A Gamez
8. A Method of Measuring Uncertainty for Z-Number
Author(s): B Kang, Y Deng, K Hewage, R Sadiq
9. A Weighted Least Squares Fuzzy Regression for Crisp Input-Fuzzy Output Data
Author(s): J Chachi
10. An SOS-Based Sliding Mode Controller Design for a Class of Polynomial Fuzzy Systems
Author(s): H Zhang, Y Wang, J Zhang, Y Wang
11. Fuzzy Pushdown Termination Games
Author(s): H Pan, F Song, Y Cao, J Qian
12. Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox
Author(s): W Lu, D Shan, W Pedrycz, L Zhang, J Yang, X Liu
13. Decentralized Dissipative Filtering for Delayed Nonlinear Interconnected Systems Based on T–S Fuzzy Model
Author(s): Y Liu, F Fang, J H Park
14. Delayed Fuzzy Control of a 1-D Reaction-Diffusion Equation Using Sampled-in-Space Sensing and Actuation
Author(s): W Kang, D-W Ding
15. Supervised Learning to Aggregate Data With the Sugeno Integral
Author(s): M Gagolewski, S James, G Beliakov
16. Interval Observer Design for Discrete-Time Uncertain Takagi–Sugeno Fuzzy Systems
Author(s): J Li, Z Wang, Y Shen, Y Wang
17. Characterization of Quadratic Aggregation Functions
Author(s): S Tasena
News and announcements from the IEEE Computational Intelligence Society
Wednesday, 10 April 2019
IEEE Transactions on Fuzzy Systems - Papers Published March 2019
1. Intelligent Backstepping Control Using Recurrent Feature Selection Fuzzy Neural Network for Synchronous Reluctance Motor Position Servo Drive System
Author(s): F-J Lin, S-G Chen, C-W Hsu
2. Generalized Dempster–Shafer Structures
Author(s): R R Yager
3. Fuzzy Peak-to-Peak Filtering for Networked Nonlinear Systems With Multipath Data Packet Dropouts
Author(s): X-H Chang; Q Liu, Y-M Wang, J Xiong
4. Distributed Fuzzy Adaptive Backstepping Optimal Control for Nonlinear Multimissile Guidance Systems With Input Saturation
Author(s): J Sun, C Liu
5. Dynamic Output Feedback Predictive Control With One Free Control Move for the Takagi–Sugeno Model With Bounded Disturbance
Author(s): J Hu, B Ding
6. Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods
Author(s): F Feng, H Fujita, M I Ali, R R Yager, X Liu
7. A Novel Three-Dimensional Fuzzy Modeling Method for Nonlinear Distributed Parameter Systems
Author(s): X-X Zhang, L-R Zhao, H-X Li, S-W Ma
8. iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization
Author(s): A Starkey, H Hagras, S Shakya, G Owusu
9. Similarity Measures for Closed General Type-2 Fuzzy Sets: Overview, Comparisons, and a Geometric Approach
Author(s): D Wu, J M Mendel
10. Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
Author(s): A Tan, W-Z Wu, Y Qian, J Liang, J Chen, J Li
11. Novel Stabilization Criteria for T–S Fuzzy Systems With Affine Matched Membership Functions
Author(s): S Lee
12. Wavelet-TSK-Type Fuzzy Cerebellar Model Neural Network for Uncertain Nonlinear Systems
Author(s): J Zhao, C-M Lin
13. Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making
Author(s): R-X Ding, X Wang, K Shang, B Liu, F Herrera
14. Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics
Author(s): C Yang, Y Jiang, J Na, Z Li, L Cheng, C-Y Su
15. The Properties of Fuzzy Tensor and Its Application in Multiple Attribute Group Decision Making
Author(s): S Deng, J Liu, X Wang
16. The Non-Smoothness Problem in Disturbance Observer Design: A Set-Invariance-Based Adaptive Fuzzy Control Method
Author(s): M Lv, S Baldi, Z Liu
17. Monotonic Smooth Takagi–Sugeno Fuzzy Systems With Fuzzy Sets With Compact Support
Author(s): P Husek
18. Ordered Weighted Averaging Aggregation on Convex Poset
Author(s): L Jin, R Mesiar, R Yager
Author(s): F-J Lin, S-G Chen, C-W Hsu
2. Generalized Dempster–Shafer Structures
Author(s): R R Yager
3. Fuzzy Peak-to-Peak Filtering for Networked Nonlinear Systems With Multipath Data Packet Dropouts
Author(s): X-H Chang; Q Liu, Y-M Wang, J Xiong
4. Distributed Fuzzy Adaptive Backstepping Optimal Control for Nonlinear Multimissile Guidance Systems With Input Saturation
Author(s): J Sun, C Liu
5. Dynamic Output Feedback Predictive Control With One Free Control Move for the Takagi–Sugeno Model With Bounded Disturbance
Author(s): J Hu, B Ding
6. Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods
Author(s): F Feng, H Fujita, M I Ali, R R Yager, X Liu
7. A Novel Three-Dimensional Fuzzy Modeling Method for Nonlinear Distributed Parameter Systems
Author(s): X-X Zhang, L-R Zhao, H-X Li, S-W Ma
8. iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization
Author(s): A Starkey, H Hagras, S Shakya, G Owusu
9. Similarity Measures for Closed General Type-2 Fuzzy Sets: Overview, Comparisons, and a Geometric Approach
Author(s): D Wu, J M Mendel
10. Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
Author(s): A Tan, W-Z Wu, Y Qian, J Liang, J Chen, J Li
11. Novel Stabilization Criteria for T–S Fuzzy Systems With Affine Matched Membership Functions
Author(s): S Lee
12. Wavelet-TSK-Type Fuzzy Cerebellar Model Neural Network for Uncertain Nonlinear Systems
Author(s): J Zhao, C-M Lin
13. Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making
Author(s): R-X Ding, X Wang, K Shang, B Liu, F Herrera
14. Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics
Author(s): C Yang, Y Jiang, J Na, Z Li, L Cheng, C-Y Su
15. The Properties of Fuzzy Tensor and Its Application in Multiple Attribute Group Decision Making
Author(s): S Deng, J Liu, X Wang
16. The Non-Smoothness Problem in Disturbance Observer Design: A Set-Invariance-Based Adaptive Fuzzy Control Method
Author(s): M Lv, S Baldi, Z Liu
17. Monotonic Smooth Takagi–Sugeno Fuzzy Systems With Fuzzy Sets With Compact Support
Author(s): P Husek
18. Ordered Weighted Averaging Aggregation on Convex Poset
Author(s): L Jin, R Mesiar, R Yager
IEEE Transactions on Fuzzy Systems - Papers Published February 2019
1. Online Performance-Based Adaptive Fuzzy Dynamic Surface Control for Nonlinear Uncertain Systems Under Input Saturation
Author(s): P Wang, X Zhang, J Zhu
2. A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups
Author(s): C-C Li, Y Dong, F Herrera
3. A Goal-Programming-Based Heuristic Approach to Deriving Fuzzy Weights in Analytic Form from Triangular Fuzzy Preference Relations
Author(s): Z-J Wang
4. Finite-Time Stabilization for Discontinuous Interconnected Delayed Systems via Interval Type-2 T–S Fuzzy Model Approach
Author(s): N Rong, Z Wang, H Zhang
5. Efficient Robust Fuzzy Model Predictive Control of Discrete Nonlinear Time-Delay Systems via Razumikhin Approach
Author(s): L Teng, Y Wang, W Cai, H Li
6. Omitting Types Theorem for Fuzzy Logics
Author(s): P Cintula, D Diaconescu
7. A Novel Fuzzy Observer-Based Steering Control Approach for Path Tracking in Autonomous Vehicles
Author(s): C Zhang, J Hu, J Qiu, W Yang, H Sun, Q Chen
8. Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning
Author(s): H Zuo, J Lu, G Zhang, F Liu
9. Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation
Author(s): S Yang, B Deng, J Wang, C Liu, H Li, Q Lin, C Fietkie, K A Loparo
10. Consensus Building With Individual Consistency Control in Group Decision Making
Author(s): C-C Li, R M Rodrigues, L Martinez, Y Dong, F Herrera
11. General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
Author(s): A Rubio-Solis, P Melin, U Martinez-Hernandez, G Panoutsos
12. Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces
Author(s): H Zuo, J Lu, G Zhang, W Pedrycz
13. From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets: A Unified View of Different Axiomatic Measures
Author(s): I Couso, H Bustince
14. Consistency Measures of Linguistic Preference Relations With Hedges
Author(s): H Wang, Z Xu, X-J Zeng, H Liao
15. Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information
Author(s): F Zhao, J Fan, H Liu, R Lan, C W Chen
16. Enhanced Predictor-Based Control Synthesis for Discrete-Time TS Fuzzy Descriptor Systems With Time-Varying Input Delays
Author(s): A Gonzalez, T-M Guerra
Author(s): P Wang, X Zhang, J Zhu
2. A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups
Author(s): C-C Li, Y Dong, F Herrera
3. A Goal-Programming-Based Heuristic Approach to Deriving Fuzzy Weights in Analytic Form from Triangular Fuzzy Preference Relations
Author(s): Z-J Wang
4. Finite-Time Stabilization for Discontinuous Interconnected Delayed Systems via Interval Type-2 T–S Fuzzy Model Approach
Author(s): N Rong, Z Wang, H Zhang
5. Efficient Robust Fuzzy Model Predictive Control of Discrete Nonlinear Time-Delay Systems via Razumikhin Approach
Author(s): L Teng, Y Wang, W Cai, H Li
6. Omitting Types Theorem for Fuzzy Logics
Author(s): P Cintula, D Diaconescu
7. A Novel Fuzzy Observer-Based Steering Control Approach for Path Tracking in Autonomous Vehicles
Author(s): C Zhang, J Hu, J Qiu, W Yang, H Sun, Q Chen
8. Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning
Author(s): H Zuo, J Lu, G Zhang, F Liu
9. Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation
Author(s): S Yang, B Deng, J Wang, C Liu, H Li, Q Lin, C Fietkie, K A Loparo
10. Consensus Building With Individual Consistency Control in Group Decision Making
Author(s): C-C Li, R M Rodrigues, L Martinez, Y Dong, F Herrera
11. General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
Author(s): A Rubio-Solis, P Melin, U Martinez-Hernandez, G Panoutsos
12. Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces
Author(s): H Zuo, J Lu, G Zhang, W Pedrycz
13. From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets: A Unified View of Different Axiomatic Measures
Author(s): I Couso, H Bustince
14. Consistency Measures of Linguistic Preference Relations With Hedges
Author(s): H Wang, Z Xu, X-J Zeng, H Liao
15. Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information
Author(s): F Zhao, J Fan, H Liu, R Lan, C W Chen
16. Enhanced Predictor-Based Control Synthesis for Discrete-Time TS Fuzzy Descriptor Systems With Time-Varying Input Delays
Author(s): A Gonzalez, T-M Guerra
IEEE Transactions on Fuzzy Systems - Call for Papers
Special Issue on SMART FUZZY OPTIMIZATION IN OPERATIONAL RESEARCH AND RENEWABLE ENERGY: MODELLING, SIMULATION, AND APPLICATION
Deadline for Submissions 1.11.19
1. AIMS AND SCOPE
Over the last five decades fuzzy optimization have found numerous successful applications in diverse fields including operational research, manufacturing, information technology, energy optimization, data science and smart cities, big data analytics and the list goes on. Fuzzy optimization has strongly influenced research and development in other areas of intelligent computing leading to many hybrid and deep learning systems. It has opened up new horizons in thinking, research and development and it will certainly guide us into another half century of progress. Actually, fuzzy optimization is one kind of the approximation of nonlinear optimization techniques, which has basically formed some systematic but not unified theory of fuzzy systems and other fuzzy-sets based methodologies. Fuzzy Optimization and Decision Making is an interdisciplinary area focusing upon methodologies for extracting useful knowledge and experiences from data technology. Specific topics include fuzzy sets, rough sets, statistical methods, parallel/distributed data mining, hybrid fuzzy optimization such as hybrid evolutionary and swarm intelligence methods and human interaction, big data optimization, IoTs, flexibility, reliability and robustness, smart systems in specific domains, high-dimensional data, energy optimization and software engineering, data science, analytics, etc.
The high complexity of neural systems and the large number of constituents with an often unknown functional interconnections lead to significant computational challenges. An important consideration is the development of mathematical models incorporating the many influences of randomness, noise, uncertainty and fuzziness in both their static and time-dependent versions. The quality of prediction by a model highly depends on the integration of imprecise data and the quantification of uncertain structural parameters. A sophisticated analysis of the influence of all types of randomness, uncertainty and noise is indispensable for the development of reliable computational and neural models and programs.
Objective of this special issue is to explore latest modeling, simulation and fuzzy optimization, related with and renewable energy, electronics and electricity, and various related subjects. This offers a concentrative venue for researchers to make rapid exchange of ideas and innovative research findings in fuzzy optimization and Operational Research. In particular, new interdisciplinary approaches in fuzzy optimization applications, computer science and engineering applications, or strong conceptual foundations in newly evolving topics are especially welcomed. We invite researchers and experts worldwide to submit high-quality innovative research papers and critical review articles on the subsequent potential topics.
2. TOPICS COVERED
The topics include but are not limited to:
Energy optimization
3. SUBMISSION GUIDELINES
All authors should read ‘Information for Authors’ before submitting a manuscript:
http://cis.ieee.org/ieee-transactions-on-fuzzy-systems.html
Submissions should be through the IEEE TFS journal website:
http://mc.manuscriptcentral.com/tfs-ieee
It is essential that your manuscript is identified as a Special Issue contribution:
4. IMPORTANT DATES
1 November 2019 Submission deadline
For guidance only:
January 2020 Notification of the first round review
April 2020 Revised submission due
July 2020 Final notice of acceptance/reject
5. GUEST EDITORS
Prof. Dr. Gerhard-Wilhelm Weber
Poznan University of Technology, Poland
Email: gerhard.weber@put.poznan.pl Affiliation: IAM, METU, Ankara
Dr. Pandian Vasant
Universiti Teknologi PETRONAS, Malaysia
Email: pandian_m@utp.edu.my
Prof. Dr. Gilberto Perez Lechuga
Universidad Autonoma del Estado de Hidalgo, Mexico
Email: glechuga@uaeh.edu.mx
Deadline for Submissions 1.11.19
1. AIMS AND SCOPE
Over the last five decades fuzzy optimization have found numerous successful applications in diverse fields including operational research, manufacturing, information technology, energy optimization, data science and smart cities, big data analytics and the list goes on. Fuzzy optimization has strongly influenced research and development in other areas of intelligent computing leading to many hybrid and deep learning systems. It has opened up new horizons in thinking, research and development and it will certainly guide us into another half century of progress. Actually, fuzzy optimization is one kind of the approximation of nonlinear optimization techniques, which has basically formed some systematic but not unified theory of fuzzy systems and other fuzzy-sets based methodologies. Fuzzy Optimization and Decision Making is an interdisciplinary area focusing upon methodologies for extracting useful knowledge and experiences from data technology. Specific topics include fuzzy sets, rough sets, statistical methods, parallel/distributed data mining, hybrid fuzzy optimization such as hybrid evolutionary and swarm intelligence methods and human interaction, big data optimization, IoTs, flexibility, reliability and robustness, smart systems in specific domains, high-dimensional data, energy optimization and software engineering, data science, analytics, etc.
The high complexity of neural systems and the large number of constituents with an often unknown functional interconnections lead to significant computational challenges. An important consideration is the development of mathematical models incorporating the many influences of randomness, noise, uncertainty and fuzziness in both their static and time-dependent versions. The quality of prediction by a model highly depends on the integration of imprecise data and the quantification of uncertain structural parameters. A sophisticated analysis of the influence of all types of randomness, uncertainty and noise is indispensable for the development of reliable computational and neural models and programs.
Objective of this special issue is to explore latest modeling, simulation and fuzzy optimization, related with and renewable energy, electronics and electricity, and various related subjects. This offers a concentrative venue for researchers to make rapid exchange of ideas and innovative research findings in fuzzy optimization and Operational Research. In particular, new interdisciplinary approaches in fuzzy optimization applications, computer science and engineering applications, or strong conceptual foundations in newly evolving topics are especially welcomed. We invite researchers and experts worldwide to submit high-quality innovative research papers and critical review articles on the subsequent potential topics.
2. TOPICS COVERED
The topics include but are not limited to:
Energy optimization
- Power supply reliability
- Power systems
- Hybrid renewable energy
- Photovoltaic
- Energy efficient
- System reliability
- Combinatorial problems
- Parameters optimization
- Autonomous vehicle
- Dynamic programming
- Fuzzy cybercrime
- Fuzzy visualization
- Fuzzy detection
- Fuzzy computing
- Fuzzy regulation
- Fuzzy vehicular networks
- Fuzzy failure diagnosis
- Non-Fuzzy approaches to uncertainty handling
- Comparison: Fuzzy vs. Non-Fuzzy approaches
- Cloud computing
- Territorial planning
- Link prediction
- Smart vehicles
- Deep learning
- Online social networks
- Remote sensing
- Sensor technologies
- Electricity and commodity markets
3. SUBMISSION GUIDELINES
All authors should read ‘Information for Authors’ before submitting a manuscript:
http://cis.ieee.org/ieee-transactions-on-fuzzy-systems.html
Submissions should be through the IEEE TFS journal website:
http://mc.manuscriptcentral.com/tfs-ieee
It is essential that your manuscript is identified as a Special Issue contribution:
- Ensure you choose ‘Special Issue’ when submitting.
- A cover letter must be included which includes the title ‘Special Issue on Smart Fuzzy Optimization in Operational Research and Renewable Energy: Modelling, Simulation, and Applications’
4. IMPORTANT DATES
1 November 2019 Submission deadline
For guidance only:
January 2020 Notification of the first round review
April 2020 Revised submission due
July 2020 Final notice of acceptance/reject
5. GUEST EDITORS
Prof. Dr. Gerhard-Wilhelm Weber
Poznan University of Technology, Poland
Email: gerhard.weber@put.poznan.pl Affiliation: IAM, METU, Ankara
Dr. Pandian Vasant
Universiti Teknologi PETRONAS, Malaysia
Email: pandian_m@utp.edu.my
Prof. Dr. Gilberto Perez Lechuga
Universidad Autonoma del Estado de Hidalgo, Mexico
Email: glechuga@uaeh.edu.mx
IEEE Transactions on Emerging Topics in Computational Intelligence - Open Access selected Paper for 2nd Quarter of 2019
IEEE Transactions on Emerging Topics in Computational Intelligence currently offers publication of its highlighted papers in Open Access for the duration of 3 months in order to assist authors gain maximum exposure for their groundbreaking research and application-oriented papers to all reader communities.
The second highlighted paper offered to make Open Access in TETCI is available now for the duration of 3 months starting from 1 April 2019.
We hope you will enjoy reading our second Open Access paper.
End-to-End Learning for Physics-Based Acoustic Modeling
Authors: Leonardo Gabrielli, Stefano Tomassetti, Carlo Zinato and Francesco Piazza
Publication: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Issue: Volume 2, Issue 2 – April 2018
Pages: 160-170
Abstract: In past years, physics-based acoustic modeling developed theoretically to the point of yielding accurate understanding and description of a large number of acoustic phenomena, such as those involved in sound generation. Numerical algorithms have been proposed that are able to simulate these phenomena in real time with an acceptable computational cost, indeed reaching the market with commercial products. Sound synthesis based on physical models could benefit greatly from automated methods that require less specific know-how and save the sound-designer valuable time. This paper introduces a novel approach to parameter estimation in physics-based sound synthesis that is general and obtains good results based on an end-to-end computational intelligence paradigm. The approach is presented in a formal way and application to a practical use case is reported. Methodological issues, such as dataset generation, are investigated.
Index Terms: Physics-based acoustic modeling, End-to-end learning, Convolutional neural networks
IEEE Xplore Link: https://ieeexplore.ieee.org/document/8323323
Available in Open Access from 1 April 2019 to 30 June 2019 in IEEE Xplore Digital Library.
The second highlighted paper offered to make Open Access in TETCI is available now for the duration of 3 months starting from 1 April 2019.
We hope you will enjoy reading our second Open Access paper.
End-to-End Learning for Physics-Based Acoustic Modeling
Authors: Leonardo Gabrielli, Stefano Tomassetti, Carlo Zinato and Francesco Piazza
Publication: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Issue: Volume 2, Issue 2 – April 2018
Pages: 160-170
Abstract: In past years, physics-based acoustic modeling developed theoretically to the point of yielding accurate understanding and description of a large number of acoustic phenomena, such as those involved in sound generation. Numerical algorithms have been proposed that are able to simulate these phenomena in real time with an acceptable computational cost, indeed reaching the market with commercial products. Sound synthesis based on physical models could benefit greatly from automated methods that require less specific know-how and save the sound-designer valuable time. This paper introduces a novel approach to parameter estimation in physics-based sound synthesis that is general and obtains good results based on an end-to-end computational intelligence paradigm. The approach is presented in a formal way and application to a practical use case is reported. Methodological issues, such as dataset generation, are investigated.
Index Terms: Physics-based acoustic modeling, End-to-end learning, Convolutional neural networks
IEEE Xplore Link: https://ieeexplore.ieee.org/document/8323323
Available in Open Access from 1 April 2019 to 30 June 2019 in IEEE Xplore Digital Library.
Wednesday, 3 April 2019
IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 4, April 2019.
1. Denoising Adversarial Autoencoders
Author(s): Antonia Creswell; Anil Anthony Bharath
Pages: 968 - 984
2. A Novel Cluster Validity Index Based on Local Cores
Author(s): Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang
Pages: 985 - 999
3. Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations
Author(s): Yonggang Chen; Zidong Wang; Bo Shen; Hongli Dong
Pages: 1000 - 1012
4. Semantically Modeling of Object and Context for Categorization
Author(s): Chunjie Zhang; Jian Cheng; Qi Tian
Pages: 1013 - 1024
5. Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks
Author(s): Liangliang Li; Xin Wang; Chuandong Li; Yuming Feng
Pages: 1025 - 1033
6. Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection
Author(s): Elise Epaillard; Nizar Bouguila
Pages: 1034 - 1047
7. Self-Organizing Neuroevolution for Solving Carpool Service Problem With Dynamic Capacity to Alternate Matches
Author(s): Ming-Kai Jiau; Shih-Chia Huang
Pages: 1048 - 1060
8. Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
Author(s): Ping Li; Jiashi Feng; Xiaojie Jin; Luming Zhang; Xianghua Xu; Shuicheng Yan
Pages: 1061 - 1075
9. Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
Author(s): Ben Niu; Ding Wang; Naif D. Alotaibi; Fuad E. Alsaadi
Pages: 1076 - 1087
10. Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine
Author(s): Hualong Yu; Xibei Yang; Shang Zheng; Changyin Sun
Pages: 1088 - 1103
11. Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding
Author(s): You-Lu Xing; Xiao-Feng Shi; Fu-Rao Shen; Jin-Xi Zhao; Jing-Xin Pan; Ah-Hwee Tan
Pages: 1104 - 1118
12. Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths
Author(s): Dong Shen; Jian-Xin Xu
Pages: 1119 - 1132
13. Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
Author(s): Xiaozhao Fang; Na Han; Wai Keung Wong; Shaohua Teng; Jigang Wu; Shengli Xie; Xuelong Li
Pages: 1133 - 1149
14. Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Author(s): Zengjie Song; Jiangshe Zhang; Guang Shi; Junmin Liu
Pages: 1150 - 1165
15. Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations
Author(s): Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee
Pages: 1166 - 1179
16. Domain Adaption via Feature Selection on Explicit Feature Map
Author(s): Wan-Yu Deng; Amaury Lendasse; Yew-Soon Ong; Ivor Wai-Hung Tsang; Lin Chen; Qing-Hua Zheng
Pages: 1180 - 1190
17. Universal Approximation Capability of Broad Learning System and Its Structural Variations
Author(s): C. L. Philip Chen; Zhulin Liu; Shuang Feng
Pages: 1191 - 1204
18. Dualityfree Methods for Stochastic Composition Optimization
Author(s): Liu Liu; Ji Liu; Dacheng Tao
Pages: 1205 - 1217
19. Event-Based Line Fitting and Segment Detection Using a Neuromorphic Visual Sensor
Author(s): David Reverter Valeiras; Xavier Clady; Sio-Hoi Ieng; Ryad Benosman
Pages: 1218 - 1230
20. SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification
Author(s): Abeegithan Jeyasothy; Suresh Sundaram; Narasimhan Sundararajan
Pages: 1231 - 1240
21. Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics
Author(s): Lu Liu; Dan Wang; Zhouhua Peng; C. L. Philip Chen; Tieshan Li
Pages: 1241 - 1249
22. Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data
Author(s): Yi Yu; Suhua Tang; Kiyoharu Aizawa; Akiko Aizawa
Pages: 1250 - 1258
23. Markov Boundary-Based Outlier Mining
Author(s): Kui Yu; Huanhuan Chen
Pages: 1259 - 1264
24. Spectral Embedded Adaptive Neighbors Clustering
Author(s): Qi Wang; Zequn Qin; Feiping Nie; Xuelong Li
Pages: 1265 - 1271
25. Approximation of Ensemble Boundary Using Spectral Coefficients
Author(s): T. Windeatt; C. Zor; N. C. Camgoz
Pages: 1272 - 1277
26. Developmental Resonance Network
Author(s): Gyeong-Moon Park; Jae-Woo Choi; Jong-Hwan Kim
Pages: 1278 - 1284
Author(s): Antonia Creswell; Anil Anthony Bharath
Pages: 968 - 984
2. A Novel Cluster Validity Index Based on Local Cores
Author(s): Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang
Pages: 985 - 999
3. Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations
Author(s): Yonggang Chen; Zidong Wang; Bo Shen; Hongli Dong
Pages: 1000 - 1012
4. Semantically Modeling of Object and Context for Categorization
Author(s): Chunjie Zhang; Jian Cheng; Qi Tian
Pages: 1013 - 1024
5. Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks
Author(s): Liangliang Li; Xin Wang; Chuandong Li; Yuming Feng
Pages: 1025 - 1033
6. Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection
Author(s): Elise Epaillard; Nizar Bouguila
Pages: 1034 - 1047
7. Self-Organizing Neuroevolution for Solving Carpool Service Problem With Dynamic Capacity to Alternate Matches
Author(s): Ming-Kai Jiau; Shih-Chia Huang
Pages: 1048 - 1060
8. Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
Author(s): Ping Li; Jiashi Feng; Xiaojie Jin; Luming Zhang; Xianghua Xu; Shuicheng Yan
Pages: 1061 - 1075
9. Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
Author(s): Ben Niu; Ding Wang; Naif D. Alotaibi; Fuad E. Alsaadi
Pages: 1076 - 1087
10. Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine
Author(s): Hualong Yu; Xibei Yang; Shang Zheng; Changyin Sun
Pages: 1088 - 1103
11. Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding
Author(s): You-Lu Xing; Xiao-Feng Shi; Fu-Rao Shen; Jin-Xi Zhao; Jing-Xin Pan; Ah-Hwee Tan
Pages: 1104 - 1118
12. Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths
Author(s): Dong Shen; Jian-Xin Xu
Pages: 1119 - 1132
13. Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
Author(s): Xiaozhao Fang; Na Han; Wai Keung Wong; Shaohua Teng; Jigang Wu; Shengli Xie; Xuelong Li
Pages: 1133 - 1149
14. Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Author(s): Zengjie Song; Jiangshe Zhang; Guang Shi; Junmin Liu
Pages: 1150 - 1165
15. Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations
Author(s): Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee
Pages: 1166 - 1179
16. Domain Adaption via Feature Selection on Explicit Feature Map
Author(s): Wan-Yu Deng; Amaury Lendasse; Yew-Soon Ong; Ivor Wai-Hung Tsang; Lin Chen; Qing-Hua Zheng
Pages: 1180 - 1190
17. Universal Approximation Capability of Broad Learning System and Its Structural Variations
Author(s): C. L. Philip Chen; Zhulin Liu; Shuang Feng
Pages: 1191 - 1204
18. Dualityfree Methods for Stochastic Composition Optimization
Author(s): Liu Liu; Ji Liu; Dacheng Tao
Pages: 1205 - 1217
19. Event-Based Line Fitting and Segment Detection Using a Neuromorphic Visual Sensor
Author(s): David Reverter Valeiras; Xavier Clady; Sio-Hoi Ieng; Ryad Benosman
Pages: 1218 - 1230
20. SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification
Author(s): Abeegithan Jeyasothy; Suresh Sundaram; Narasimhan Sundararajan
Pages: 1231 - 1240
21. Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics
Author(s): Lu Liu; Dan Wang; Zhouhua Peng; C. L. Philip Chen; Tieshan Li
Pages: 1241 - 1249
22. Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data
Author(s): Yi Yu; Suhua Tang; Kiyoharu Aizawa; Akiko Aizawa
Pages: 1250 - 1258
23. Markov Boundary-Based Outlier Mining
Author(s): Kui Yu; Huanhuan Chen
Pages: 1259 - 1264
24. Spectral Embedded Adaptive Neighbors Clustering
Author(s): Qi Wang; Zequn Qin; Feiping Nie; Xuelong Li
Pages: 1265 - 1271
25. Approximation of Ensemble Boundary Using Spectral Coefficients
Author(s): T. Windeatt; C. Zor; N. C. Camgoz
Pages: 1272 - 1277
26. Developmental Resonance Network
Author(s): Gyeong-Moon Park; Jae-Woo Choi; Jong-Hwan Kim
Pages: 1278 - 1284
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