Advances in Neural Networks – ISNN 2018

1. Front Matter

   Pages I-XIX

   PDF

2. Cognition Computation

   1. Front Matter

      Pages 1-1

      PDF

   2. Fast Convergent Capsule Network with Applications in MNIST

      • Xianli Zou, Shukai Duan, Lidan Wang, Jin Zhang

      Pages 3-10

   3. A Neurodynamic Approach to Multiobjective Linear Programming

      • Man-Fai Leung, Jun Wang

      Pages 11-18

   4. Neural Network Model of Unconscious

      • Alexandr A. Ezhov

      Pages 19-28

   5. Formal Aspects of Streaming Recurrent Neural Networks

      • Vasiliy Osipov, Viktor Nikiforov

      Pages 29-36

   6. Approaches to Modeling of Nontrivial Cognitive Behavior

      • Vladimir G. Red’ko, Galina A. Beskhlebnova

      Pages 37-43

   7. Competitive Hyperparameter Balancing on Spiking Neural Network for a Fast, Accurate and Energy-Efficient Inference

      • Jeongho Kim, Dae-Shik Kim

      Pages 44-53

   8. Automatic Inference of Cross-Modal Connection Topologies for X-CNNs

      • Laurynas Karazija, Petar Veličković, Pietro Liò

      Pages 54-63

   9. Complex-Valued Stacked Denoising Autoencoders

      • Călin-Adrian Popa

      Pages 64-71

   10. Complex-Valued Deep Belief Networks

       • Călin-Adrian Popa

       Pages 72-78

   11. Modeling of the Cognitive Activity of Simultaneous Interpretation Using the Theory of Information Images

       • Alexandr Y. Petukhov, Sofia A. Polevaya

       Pages 79-88

3. Models, Methods and Algorithms

   1. Front Matter

      Pages 89-89

      PDF

   2. Development of a Sensory-Neural Network for Medical Diagnosing

      • Igor Grabec, Eva Švegl, Mihael Sok

      Pages 91-98

   3. Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications

      • Jue Wang, Ping Guo, Xin Xin

      Pages 99-106

   4. Identification of Vessel Kinetics Based on Neural Networks via Concurrent Learning

      • Nan Gu, Lu Liu, Dan Wang, Zhouhua Peng

      Pages 107-114

   5. Method to Improve the Performance of Restricted Boltzmann Machines

      • Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv

      Pages 115-123

   6. Modeling Hysteresis Using Non-smooth Neural Networks

      • Yonghong Tan, Ruili Dong

      Pages 124-129

   7. The Implementation of a Pointer Network Model for Traveling Salesman Problem on a Xilinx PYNQ Board

      • Shenshen Gu, Tao Hao, Shaofu Yang

      Pages 130-138

   8. Generalized Affine Scaling Trajectory Analysis for Linearly Constrained Convex Programming

      • Xun Qian, Li-Zhi Liao

      Pages 139-147

This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.
The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.​

• Neurodynamics
• Intelligent control, robotics and hardware
• Bio-signal, bioinformatics and biomedical engineering
• Signal, Image and Video Processing
• Clustering, Classification, Learning, and Forecasting
• Artificial Intelligence
• neural networks
• Signal Processing
• Image Processing
• Linear Matrix Inequalities
• Nonlinear Control Systems
• Linear Control Systems
• Image Reconstruction
• Learning Algorithms
• Lyapunov
• Genetic Algorithms
• Image Segmentation
• Support Vector Machines
• Evolutionary Algorithms
• Robots

• Texas A&M University at Qatar, Doha, Qatar

  Tingwen Huang

• Sichuan University, Chengdu, China

  Jiancheng Lv

• Southeast University, Nanjing, China

  Changyin Sun

• United Institute of Informatics Problems, Minsk, Belarus

  Alexander V. Tuzikov

Policies and ethics