Tuesday, 2 January 2018

IEEE TNNLS January 2018 - Table of Contents

IEEE Transactions on Neural Networks and Learning Systems; Volume 29, Issue 1, January 2018.
Posted by: Haibo He (ieeetnnls@gmail.com)
Date submitted: January 2018.

Happy New Year!

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 29, Issue 1, January 2018.

This issue published papers on broad learning, adaptive dynamic programming, subspace learning, active learning, self-organized learning, time-delayed neural networks, adaptive control, 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 1, January 2018.

1. Editorial: Growth and Success - Looking Forward to 2018 and Beyond
Author(s): Haibo He
Page(s): 2 - 9

2. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Author(s): C. L. Philip Chen; Zhulin Liu
Page(s): 10 - 24

3. Hair Segmentation Using Heuristically-Trained Neural Networks
Author(s): Wenzhangzhi Guo; Parham Aarabi
Page(s): 25 - 36

4. Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming
Author(s): Qichao Zhang; Dongbin Zhao; Ding Wang
Page(s): 37 - 50

5. An Efficient Representation-Based Method for Boundary Point and Outlier Detection
Author(s): Xiaojie Li; Jiancheng Lv; Zhang Yi
Page(s): 51 - 62

6. Development of Quantum Local Potential Function Networks Based on Quantum Assimilation and Subspace Division
Author(s): Yiqian Cui; Junyou Shi; Zili Wang
Page(s): 63 - 73

7. A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams
Author(s): Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh
Page(s): 74 - 86

8. In Defense of Locality-Sensitive Hashing
Author(s): Kun Ding; Chunlei Huo; Bin Fan; Shiming Xiang; Chunhong Pan
Page(s): 87 - 103

9. An Adaptive-PSO-Based Self-Organizing RBF Neural Network
Author(s): Hong-Gui Han; Wei Lu; Ying Hou; Jun-Fei Qiao
Page(s): 104 - 117

10. Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control
Author(s): Yajuan Liu; Bao-Zhu Guo; Ju H. Park; Sang-Moon Lee
Page(s): 118 - 128

11. Decorrelation of Neutral Vector Variables: Theory and Applications
Author(s): Zhanyu Ma; Jing-Hao Xue; Arne Leijon; Zheng-Hua Tan; Zhen Yang; Jun Guo
Page(s): 129 - 143

12. Neural-Network-Based Adaptive Decentralized Fault-Tolerant Control for a Class of Interconnected Nonlinear Systems
Author(s): Xiao-Jian Li; Guang-Hong Yang
Page(s): 144 - 155

13. Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis
Author(s): Phillip Howard; Daniel W. Apley; George Runger
Page(s): 156 - 166

14. Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions
Author(s): Laurens Bliek; Hans R. G. W. Verstraete; Michel Verhaegen; Sander Wahls
Page(s): 167 - 182

15. Face Alignment With Deep Regression
Author(s): Baoguang Shi; Xiang Bai; Wenyu Liu; Jingdong Wang
Page(s): 183 - 194

16. Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication
Author(s): Shanmugam Lakshmanan; Mani Prakash; Chee Peng Lim; Rajan Rakkiyappan; Pagavathigounder Balasubramaniam; Saeid Nahavandi
Page(s): 195 - 207

17. Robust Neuro-Optimal Control of Underactuated Snake Robots With Experience Replay
Author(s): Zhengcai Cao; Qing Xiao; Ran Huang; Mengchu Zhou
Page(s): 208 - 217

18. Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations
Author(s): Xi Peng; Canyi Lu; Zhang Yi; Huajin Tang
Page(s): 218 - 224

19. On Global Dissipativity of Nonautonomous Neural Networks With Multiple Proportional Delays
Author(s): Le Van Hien; Doan Thai Son; Hieu Trinh
Page(s): 225 - 231

20. Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations
Author(s): Xuhui Bu; Zhongsheng Hou
Page(s): 232 - 237

21. Laplacian Echo State Network for Multivariate Time Series Prediction
Author(s): Min Han; Meiling Xu
Page(s): 238 - 244
IEEE TNNLS January 2018 - Table of Contents

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