Friday, 1 June 2018

IEEE Transactions on Neural Networks and Learning Systems: Volume 29, Issue 6, June 2018

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 29, Issue 6, June 2018.

This issue published papers on reinforcement learning, adaptive dynamic programming, recurrent neural network, hashing, clustering, transfer learning, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 29, Issue 6, June 2018.

1. Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming
Author(s): Dongbin Zhao; Derong Liu; F. L. Lewis; Jose C. Principe; Stefano Squartini
Page(s): 2038 - 2041

2. Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Author(s): Bahare Kiumarsi; Kyriakos G. Vamvoudakis; Hamidreza Modares; Frank L. Lewis
Page(s): 2042 - 2062

3. Applications of Deep Learning and Reinforcement Learning to Biological Data
Author(s): Mufti Mahmud; Mohammed Shamim Kaiser; Amir Hussain; Stefano Vassanelli
Page(s): 2063 - 2079

4. Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion
Author(s): Isaac J. Sledge; Matthew S. Emigh; José C. Príncipe
Page(s): 2080 - 2098

5. Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
Author(s): Biao Luo; Derong Liu; Huai-Ning Wu
Page(s): 2099 - 2111

6. Optimal Guaranteed Cost Sliding Mode Control for Constrained-Input Nonlinear Systems With Matched and Unmatched Disturbances
Author(s): Huaguang Zhang; Qiuxia Qu; Geyang Xiao; Yang Cui
Page(s): 2112 - 2126

7. Robust ADP Design for Continuous-Time Nonlinear Systems With Output Constraints
Author(s): Bo Fan; Qinmin Yang; Xiaoyu Tang; Youxian Sun
Page(s): 2127 - 2138

8. Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning
Author(s): Yongliang Yang; Hamidreza Modares; Donald C. Wunsch; Yixin Yin
Page(s): 2139 - 2153

9. Approximate Dynamic Programming: Combining Regional and Local State Following Approximations
Author(s): Patryk Deptula; Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon
Page(s): 2154 - 2166

10. Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach
Author(s): Tohid Sardarmehni; Ali Heydari
Page(s): 2167 - 2178

11. Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on Adaptive Critic Design
Author(s): Zhanshan Wang; Lei Liu; Yanming Wu; Huaguang Zhang
Page(s): 2179 - 2191

12. Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
Author(s): Weirong Liu; Peng Zhuang; Hao Liang; Jun Peng; Zhiwu Huang
Page(s): 2192 - 2203

13. Reusable Reinforcement Learning via Shallow Trails
Author(s): Yang Yu; Shi-Yong Chen; Qing Da; Zhi-Hua Zhou
Page(s): 2204 - 2215

14. Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning
Author(s): Zhipeng Ren; Daoyi Dong; Huaxiong Li; Chunlin Chen
Page(s): 2216 - 2226

15. Multisource Transfer Double DQN Based on Actor Learning
Author(s): Jie Pan; Xuesong Wang; Yuhu Cheng; Qiang Yu
Page(s): 2227 - 2238

16. Action-Driven Visual Object Tracking With Deep Reinforcement Learning
Author(s): Sangdoo Yun; Jongwon Choi; Youngjoon Yoo; Kimin Yun; Jin Young Choi
Page(s): 2239 - 2252

17. Extreme Trust Region Policy Optimization for Active Object Recognition
Author(s): Huaping Liu; Yupei Wu; Fuchun Sun
Page(s): 2253 - 2258

18. Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning
Author(s): Eric Chalmers; Edgar Bermudez Contreras; Brandon Robertson; Artur Luczak; Aaron Gruber
Page(s): 2259 - 2270

19. A Discrete-Time Recurrent Neural Network for Solving Rank-Deficient Matrix Equations With an Application to Output Regulation of Linear Systems
Author(s): Tao Liu; Jie Huang
Page(s): 2271 - 2277

20. Online Learning Algorithm Based on Adaptive Control Theory
Author(s): Jian-Wei Liu; Jia-Jia Zhou; Mohamed S. Kamel; Xiong-Lin Luo
Page(s): 2278 - 2293

21. User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach
Author(s): Jauwairia Nasir; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim
Page(s): 2294 - 2308

22. Online Hashing
Author(s): Long-Kai Huang; Qiang Yang; Wei-Shi Zheng
Page(s): 2309 - 2322

23. GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy
Author(s): Kailing Guo; Liu Liu; Xiangmin Xu; Dong Xu; Dacheng Tao
Page(s): 2323 - 2336

24. A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine
Author(s): Mingxing Duan; Kenli Li; Xiangke Liao; Keqin Li
Page(s): 2337 - 2351

25. Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes
Author(s): Yajun Zhang; Tianyou Chai; Hong Wang; Dianhui Wang; Xinkai Chen
Page(s): 2352 - 2366

26. Online Learning Algorithms Can Converge Comparably Fast as Batch Learning
Author(s): Junhong Lin; Ding-Xuan Zhou
Page(s): 2367 - 2378

27. Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons
Author(s): Ahana Gangopadhyay; Shantanu Chakrabartty
Page(s): 2379 - 2391

28. Uncertain Data Clustering in Distributed Peer-to-Peer Networks
Author(s): Jin Zhou; Long Chen; C. L. Philip Chen; Yingxu Wang; Han-Xiong Li
Page(s): 2392 - 2406

29. Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch
Author(s): Chaojie Li; Xinghuo Yu; Tingwen Huang; Xing He
Page(s): 2407 - 2418

30. Distributed Adaptive Containment Control for a Class of Nonlinear Multiagent Systems With Input Quantization
Author(s): Chenliang Wang; Changyun Wen; Qinglei Hu; Wei Wang; Xiuyu Zhang
Page(s): 2419 - 2428

31. Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage
Author(s): Dong Shen
Page(s): 2429 - 2440

32. Reversed Spectral Hashing
Author(s): Qingshan Liu; Guangcan Liu; Lai Li; Xiao-Tong Yuan; Meng Wang; Wei Liu
Page(s): 2441 - 2449

33. Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
Author(s): Jia Liu; Maoguo Gong; Qiguang Miao; Xiaogang Wang; Hao Li
Page(s): 2450 - 2463

34. On the Dynamics of Hopfield Neural Networks on Unit Quaternions
Author(s): Marcos Eduardo Valle; Fidelis Zanetti de Castro
Page(s): 2464 - 2471

35. End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes
Author(s): Zijia Lin; Guiguang Ding; Jungong Han; Ling Shao
Page(s): 2472 - 2487

36. Improved Stability and Stabilization Results for Stochastic Synchronization of Continuous-Time Semi-Markovian Jump Neural Networks With Time-Varying Delay
Author(s): Yanling Wei; Ju H. Park; Hamid Reza Karimi; Yu-Chu Tian; Hoyoul Jung
Page(s): 2488 - 2501

37. Robust Latent Subspace Learning for Image Classification
Author(s): Xiaozhao Fang; Shaohua Teng; Zhihui Lai; Zhaoshui He; Shengli Xie; Wai Keung Wong
Page(s): 2502 - 2515

38. New Splitting Criteria for Decision Trees in Stationary Data Streams
Author(s): Maciej Jaworski; Piotr Duda; Leszek Rutkowski
Page(s): 2516 - 2529

39. A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection
Author(s): Gregory Ditzler; Robi Polikar; Gail Rosen
Page(s): 2530 - 2544

40. Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning
Author(s): Shichang Sun; Hongbo Liu; Jiana Meng; C. L. Philip Chen; Yu Yang
Page(s): 2545 - 2557

41. Exponential Synchronization of Networked Chaotic Delayed Neural Network by a Hybrid Event Trigger Scheme
Author(s): Zhongyang Fei; Chaoxu Guan; Huijun Gao
Page(s): 2558 - 2567

42. Multiclass Learning With Partially Corrupted Labels
Author(s): Ruxin Wang; Tongliang Liu; Dacheng Tao
Page(s): 2568 - 2580

43. Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems
Author(s): Yujin Zhu; Zhe Wang; Hongyuan Zha; Daqi Gao
Page(s): 2581 - 2594

44. An Information-Theoretic-Cluster Visualization for Self-Organizing Maps
Author(s): Leonardo Enzo Brito da Silva; Donald C. Wunsch
Page(s): 2595 - 2613

45. Learning-Based Adaptive Optimal Tracking Control of Strict-Feedback Nonlinear Systems
Author(s): Weinan Gao; Zhong-Ping Jiang
Page(s): 2614 - 2624

46. On the Impact of Regularization Variation on Localized Multiple Kernel Learning
Author(s): Yina Han; Kunde Yang; Yixin Yang; Yuanliang Ma
Page(s): 2625 - 2630

47. Structured Learning of Tree Potentials in CRF for Image Segmentation
Author(s): Fayao Liu; Guosheng Lin; Ruizhi Qiao; Chunhua Shen
Page(s): 2631 - 2637

48. Adaptive Backstepping-Based Neural Tracking Control for MIMO Nonlinear Switched Systems Subject to Input Delays
Author(s): Ben Niu; Lu Li
Page(s): 2638 - 2644

49. Memcomputing Numerical Inversion With Self-Organizing Logic Gates
Author(s): Haik Manukian; Fabio L. Traversa; Massimiliano Di Ventra
Page(s): 2645 - 2650

50. Graph Regularized Restricted Boltzmann Machine
Author(s): Dongdong Chen; Jiancheng Lv; Zhang Yi
Page(s): 2651 - 2659

51. A Self-Paced Regularization Framework for Multilabel Learning
Author(s): Changsheng Li; Fan Wei; Junchi Yan; Xiaoyu Zhang; Qingshan Liu; Hongyuan Zha
Page(s): 2660 - 2666

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