This issue published papers on memristive neural networks, recurrent neural networks, manifold learning, reinforcement learning, complex networks, causality analysis, adaptive dynamic programming, among others. We welcome your submissions to IEEE TNNLS.
These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/
or directly by clicking the individual paper URL below.
IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 8, August 2017.
1. A Survey of Memristive Threshold Logic Circuits
Author(s): Akshay Kumar Maan; Deepthi Anirudhan Jayadevi; Alex Pappachen James
Page(s): 1734 - 1746
http://ieeexplore.ieee.org/
2. A Collective Neurodynamic Approach to Distributed Constrained Optimization
Author(s): Qingshan Liu; Shaofu Yang; Jun Wang
Page(s): 1747 - 1758
http://ieeexplore.ieee.org/
3. Spectrum-Diverse Neuroevolution With Unified Neural Models
Author(s): Danilo Vasconcellos Vargas; Junichi Murata
Page(s): 1759 - 1773
http://ieeexplore.ieee.org/
4. Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
Author(s): Ghasem Ahmadi; Mohammad Teshnehlab
Page(s): 1774 - 1786
http://ieeexplore.ieee.org/
5. MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation
Author(s): Xutao Li; Michael K. Ng; Gao Cong; Yunming Ye; Qingyao Wu
Page(s): 1787 - 1800
http://ieeexplore.ieee.org/
6. Understanding Social Causalities Behind Human Action Sequences
Author(s): Ruichu Cai; Zhenjie Zhang; Zhifeng Hao; Marianne Winslett
Page(s): 1801 - 1813
http://ieeexplore.ieee.org/
7. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
Author(s): Bilal Piot; Matthieu Geist; Olivier Pietquin
Page(s): 1814 - 1826
http://ieeexplore.ieee.org/
8. Passivity of Directed and Undirected Complex Dynamical Networks With Adaptive Coupling Weights
Author(s): Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-Yan Ren; Jigang Wu
Page(s): 1827 - 1839
http://ieeexplore.ieee.org/
9. Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays
Author(s): Ramasamy Saravanakumar; Muhammed Syed Ali; Choon Ki Ahn; Hamid Reza Karimi; Peng Shi
Page(s): 1840 - 1850
http://ieeexplore.ieee.org/
10. Shrinkage Degree in L2-Rescale Boosting for Regression
Author(s): Lin Xu; Shaobo Lin; Yao Wang; Zongben Xu
Page(s): 1851 - 1864
http://ieeexplore.ieee.org/
11. Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning
Author(s): Kazunori Iwata
Page(s): 1865 - 1877
http://ieeexplore.ieee.org/
12. Exponential Synchronization of Memristive Neural Networks With Delays: Interval Matrix Method
Author(s): Xinsong Yang; Jinde Cao; Jinling Liang
Page(s): 1878 - 1888
http://ieeexplore.ieee.org/
13. A Memristive Multilayer Cellular Neural Network With Applications to Image Processing
Author(s): Xiaofang Hu; Gang Feng; Shukai Duan; Lu Liu
Page(s): 1889 - 1901
http://ieeexplore.ieee.org/
14. An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
Author(s): Shen Yin; Hongyan Yang; Huijun Gao; Jianbin Qiu; Okyay Kaynak
Page(s): 1902 - 1913
http://ieeexplore.ieee.org/
15. Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems
Author(s): Zhongsheng Hou; Shida Liu; Taotao Tian
Page(s): 1914 - 1928
http://ieeexplore.ieee.org/
16. Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems
Author(s): Yongliang Yang; Donald Wunsch; Yixin Yin
Page(s): 1929 - 1940
http://ieeexplore.ieee.org/
17. Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints
Author(s): Lu Dong; Xiangnan Zhong; Changyin Sun; Haibo He
Page(s): 1941 - 1952
http://ieeexplore.ieee.org/
18. Dynamical Analysis of the Hindmarsh–Rose Neuron With Time Delays
Author(s): S. Lakshmanan; C. P. Lim; S. Nahavandi; M. Prakash; P. Balasubramaniam
Page(s): 1953 - 1958
http://ieeexplore.ieee.org/
19. Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions
Author(s): Sabato Marco Siniscalchi; Valerio Mario Salerno
Page(s): 1959 - 1965
http://ieeexplore.ieee.org/
20. Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities
Author(s): Koichi Kobayashi; Kunihiko Hiraishi
Page(s): 1966 - 1971
http://ieeexplore.ieee.org/
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