Tuesday, 30 May 2017

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS: JUNE 2017 VOLUME 28 NUMBER 6

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 6, June 2017.
Posted by: Haibo He (ieeetnnls@gmail.com)
Date submitted: June 1, 2017

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 6, June 2017.

This issue published papers on graph-based learning, sparse coding, adaptive control, quantum ensemble classification, spiking neural networks, deep neural networks, radial basis function networks, support vector machines, kernel methods, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.


IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 6, June 2017.

1. Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing
Author(s): Denis Kleyko; Evgeny Osipov; Alexander Senior; Asad I. Khan; Yaşar Ahmet Şekerciogğlu
Page(s): 1250 - 1262
http://ieeexplore.ieee.org/document/7432019/

2. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
Author(s): Xiaofeng Zhu; Xuelong Li; Shichao Zhang; Chunhua Ju; Xindong Wu
Page(s): 1263 - 1275
http://ieeexplore.ieee.org/document/7422138/

3. Rate of Convergence of the FOCUSS Algorithm
Author(s): Kan Xie; Zhaoshui He; Andrzej Cichocki; Xiaozhao Fang
Page(s): 1276 - 1289
http://ieeexplore.ieee.org/document/7423792/

4. Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources
Author(s): Li Niu; Xinxing Xu; Lin Chen; Lixin Duan; Dong Xu
Page(s): 1290 - 1304
http://ieeexplore.ieee.org/document/7432005/

5. Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data
Author(s): Enmei Tu; Nikola Kasabov; Jie Yang
Page(s): 1305 - 1317
http://ieeexplore.ieee.org/document/7434041/

6. Adaptive Neural Control of Uncertain MIMO Nonlinear Systems With State and Input Constraints
Author(s): Ziting Chen; Zhijun Li; C. L. Philip Chen
Page(s): 1318 - 1330
http://ieeexplore.ieee.org/document/7435341/

7. Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules
Author(s): Bing Wang; Kathryn E. Merrick; Hussein A. Abbass
Page(s): 1331 - 1344
http://ieeexplore.ieee.org/document/7436771/

8. Quantum Ensemble Classification: A Sampling-Based Learning Control Approach
Author(s): Chunlin Chen; Daoyi Dong; Bo Qi; Ian R. Petersen; Herschel Rabitz
Page(s): 1345 - 1359
http://ieeexplore.ieee.org/document/7439835/

9. A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation
Author(s): Chi-Sing Leung; Wai Yan Wan; Ruibin Feng
Page(s): 1360 - 1372
http://ieeexplore.ieee.org/document/7442583/

10. Clustering Through Hybrid Network Architecture With Support Vectors
Author(s): Emrah Ergul; Nafiz Arica; Narendra Ahuja; Sarp Erturk
Page(s): 1373 - 1385
http://ieeexplore.ieee.org/document/7442845/

11. Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO
Author(s): Kai Sun; Shao-Hsuan Huang; David Shan-Hill Wong; Shi-Shang Jang
Page(s): 1386 - 1396
http://ieeexplore.ieee.org/document/7444176/

12. Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression Method
Author(s): Ziyin Wang; Mandan Liu; Yicheng Cheng; Rubin Wang
Page(s): 1397 - 1410
http://ieeexplore.ieee.org/document/7444143/

13. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method
Author(s): Xiurui Xie; Hong Qu; Zhang Yi; Jürgen Kurths
Page(s): 1411 - 1424
http://ieeexplore.ieee.org/document/7444173/

14. Sparseness Analysis in the Pretraining of Deep Neural Networks
Author(s): Jun Li; Tong Zhang; Wei Luo; Jian Yang; Xiao-Tong Yuan; Jian Zhang
Page(s): 1425 - 1438
http://ieeexplore.ieee.org/document/7445251/

15. Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy
Author(s): Zi-Jun Jia; Yong-Duan Song
Page(s): 1439 - 1451
http://ieeexplore.ieee.org/document/7458881/

16. Label Propagation via Teaching-to-Learn and Learning-to-Teach
Author(s): Chen Gong; Dacheng Tao; Wei Liu; Liu Liu; Jie Yang
Page(s): 1452 - 1465
http://ieeexplore.ieee.org/document/7447818/

17. Optimized Kernel Entropy Components
Author(s): Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls
Page(s): 1466 - 1472
http://ieeexplore.ieee.org/document/7419913/

18. Quantized Iterative Learning Consensus Tracking of Digital Networks With Limited Information Communication
Author(s): Wenjun Xiong; Xinghuo Yu; Yao Chen; Jie Gao
Page(s): 1473 - 1480
http://ieeexplore.ieee.org/document/7425248/

19. Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control
Author(s): Yongping Pan; Haoyong Yu
Page(s): 1481 - 1487
http://ieeexplore.ieee.org/document/7444169/

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