Thursday, 1 February 2018

IEEE Transactions on Neural Networks and Learning Systems; Volume 29, Issue 2, February 2018.

IEEE Transactions on Neural Networks and Learning Systems; Volume 29, Issue 2, February 2018.
Posted by: Haibo He (
Date submitted: February 1, 2018.

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 29, Issue 2, February 2018.

This issue published papers on deep learning, multi-view learning, adaptive control, transfer learning, clustering, recurrent neural network, 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 2, February 2018.

1. Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks
Author(s): Son N. Tran; Artur S. d’Avila Garcez
Page(s): 246 - 258

2. An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition
Author(s): Li Niu; Wen Li; Dong Xu; Jianfei Cai
Page(s): 259 - 272

3. Hysteretic Noisy Chaotic Neural Networks for Resource Allocation in OFDMA System
Author(s): Ming Sun; Kwang Y. Lee; Yaoqun Xu; Wenlei Bai
Page(s): 273 - 285

4. Neuroadaptive Fault-Tolerant Control of Nonlinear Systems Under Output Constraints and Actuation Faults
Author(s): Kai Zhao; Yongduan Song; Zhixi Shen
Page(s): 286 - 298

5. State Estimation for Delayed Genetic Regulatory Networks With Reaction–Diffusion Terms
Author(s): Xian Zhang; Yuanyuan Han; Ligang Wu; Yantao Wang
Page(s): 299 - 309

6. Incomplete Multisource Transfer Learning
Author(s): Zhengming Ding; Ming Shao; Yun Fu
Page(s): 310 - 323

7. A pdf-Free Change Detection Test Based on Density Difference Estimation
Author(s): Li Bu; Cesare Alippi; Dongbin Zhao
Page(s): 324 - 334

8. Multisynchronization of Coupled Heterogeneous Genetic Oscillator Networks via Partial Impulsive Control
Author(s): Ding-Xin He; Guang Ling; Zhi-Hong Guan; Bin Hu; Rui-Quan Liao
Page(s): 335 - 342

9. Concept Factorization With Adaptive Neighbors for Document Clustering
Author(s): Xiaobing Pei; Chuanbo Chen; Weihua Gong
Page(s): 343 - 352

10. Multivariate Cryptography Based on Clipped Hopfield Neural Network
Author(s): Jia Wang; Lee-Ming Cheng; Tong Su
Page(s): 353 - 363

11. Passivity and Output Synchronization of Complex Dynamical Networks With Fixed and Adaptive Coupling Strength
Author(s): Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-Yan Ren; Jigang Wu
Page(s): 364 - 376

12. Constrained Null Space Component Analysis for Semiblind Source Separation Problem
Author(s): Wen-Liang Hwang; Keng-Shih Lu; Jinn Ho
Page(s): 377 - 391

13. Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks
Author(s): Nian Liu; Junwei Han; Tianming Liu; Xuelong Li
Page(s): 392 - 404

14. Network Unfolding Map by Vertex-Edge Dynamics Modeling
Author(s): Filipe Alves Neto Verri; Paulo Roberto Urio; Liang Zhao
Page(s): 405 - 418

15. Real-Time Decentralized Neural Control via Backstepping for a Robotic Arm Powered by Industrial Servomotors
Author(s): Luis A. Vázquez; Francisco Jurado; Carlos E. Castaneda; Victor Santibánez
Page(s): 419 - 426

16. Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis
Author(s): Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi
Page(s): 427 - 439

17. CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification
Author(s): Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung
Page(s): 440 - 456

18. Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems
Author(s): Ridong Zhang; Jili Tao; Renquan Lu; Qibing Jin
Page(s): 457 - 469

19. Forward Stagewise Additive Model for Collaborative Multiview Boosting
Author(s): Avisek Lahiri; Biswajit Paria; Prabir Kumar Biswas
Page(s): 470 - 485

20. Localized Multiple Kernel Learning With Dynamical Clustering and Matrix Regularization
Author(s): Yina Han; Kunde Yang; Yixin Yang; Yuanliang Ma
Page(s): 486 - 499

21. High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data
Author(s): Peter Andras
Page(s): 500 - 508

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