Advances in Neural Networks – ISNN 2016

1. Front Matter

   Pages I-XX

   PDF

2. Signal and Image Processing

   1. Front Matter

      Pages 1-1

      PDF

   2. Large Scale Image Steganalysis Based on MapReduce

      • Zhanquan Sun, Huifen Huang, Feng Li

      Pages 3-11

   3. Edge Detection Using Convolutional Neural Network

      • Ruohui Wang

      Pages 12-20

   4. Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis

      • Min Han, Chengkun Zhang, Jun Wang

      Pages 21-29

   5. Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses

      • Tiantian Yang, Fengyu Cong, Zheng Chang, Youyi Liu, Tapani Ristainiemi, Hong Li

      Pages 30-39

   6. Parallel Classification of Large Aerospace Images by the Multi-alternative Discrete Accumulation Method

      • Vladimir I. Vorobiev, Elena L. Evnevich, Dmitriy K. Levonevskiy

      Pages 40-48

   7. Instantaneous Wavelet Correlation of Spectral Integrals Related to Records from Different EEG Channels

      • Sergey V. Bozhokin, Irina B. Suslova

      Pages 49-55

   8. The Theory of Information Images: Modeling of Communicative Interactions of Individuals

      • Alexandr Y. Petukhov, Sofia A. Polevaya

      Pages 56-65

   9. A Two-Stage Channel Selection Model for Classifying EEG Activities of Young Adults with Internet Addiction

      • Wenjie Li, Ling Zou, Tiantong Zhou, Changming Wang, Jiongru Zhou

      Pages 66-73

   10. Text-independent Speaker Recognition Using Radial Basis Function Network

       • Anton Yakovenko, Galina Malychina

       Pages 74-81

   11. Usage of DNN in Speaker Recognition: Advantages and Problems

       • Oleg Kudashev, Sergey Novoselov, Timur Pekhovsky, Konstantin Simonchik, Galina Lavrentyeva

       Pages 82-91

   12. Boosted Inductive Matrix Completion for Image Tagging

       • Yuqing Hou

       Pages 92-99

   13. Neurological Classifier Committee Based on Artificial Neural Networks and Support Vector Machine for Single-Trial EEG Signal Decoding

       • Konstantin Sonkin, Lev Stankevich, Yulia Khomenko, Zhanna Nagornova, Natalia Shemyakina, Alexandra Koval et al.

       Pages 100-107

   14. Calculation of Analogs for the Largest Lyapunov Exponents for Acoustic Data by Means of Artificial Neural Networks

       • German A. Chernykh, Yuri A. Kuperin, Ludmila A. Dmitrieva, Angelina A. Navleva

       Pages 108-114

   15. Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines

       • Heysem Kaya, Alexey A. Karpov, Albert Ali Salah

       Pages 115-123

3. Dynamical Behaviors of Recurrent Neural Networks

   1. Front Matter

      Pages 125-125

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   2. Matrix-Valued Hopfield Neural Networks

      • Călin-Adrian Popa

      Pages 127-134

   3. Synchronization of Coupled Neural Networks with Nodes of Different Dimensions

      • Manchun Tan, Desheng Xu

      Pages 135-142

   4. Asymptotic Behaviors for Non-autonomous Difference Neural Networks with Impulses and Delays

      • Shujun Long, Bing Li

      Pages 143-151

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.

• genetic algorithm
• global optimization
• machine learning
• pattern recognition
• simulation
• dynamical behavior analysis
• feature extraction
• image analysis
• intelligent control
• learning algorithm
• motion detection
• neural networks
• prediction
• probability
• recurrent neural networks
• robotics
• signal processing
• spiking neural networks
• support vector machines
• system identification

• The Chinese Academy of Sciences, Beijing, China

  Long Cheng

• Huazhong University of Science and Tech., Wuhan, China

  Qingshan Liu

• Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

  Andrey Ronzhin

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