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Advances in Neural Networks – ISNN 2020

17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Min Han

    1. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China

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  2. Sitian Qin

    1. School of Science, Harbin Institute of Technology, Weihai, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Nian Zhang

    1. School of Engineering and Applied Sciences, University of the District of Columbia, Washington, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12557)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ISNN 2020.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xiii
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  2. Optimization Algorithms

    1. Front Matter

      Pages 1-1
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    2. Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm

      • Haijie Bao, Chuyi Song, Liyan Xu, Jingqing Jiang
      Pages 3-12

    3. A Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering

      • Chun Hua, Narengerile Liu
      Pages 13-24

    4. Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group

      • Long Chen, Xiaojuan Zhang, Jun Zhao, Long Chen, Wei Wang
      Pages 25-36

    5. A PSO Based Technique for Optimal Integration of DG into the Power Distribution System

      • K. Moloi, J. A. Jordaan, Y. Hamam
      Pages 37-46

    6. Online Data-Driven Surrogate-Assisted Particle Swarm Optimization for Traffic Flow Optimization

      • Shuo-wei Cai, Shi-cheng Zha, Wei-neng Chen
      Pages 47-58

  3. Neurodynamics, Complex Systems, and Chaos

    1. Front Matter

      Pages 59-59
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    2. Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism

      • Yi Yang, Changcheng Xiang, Xiangguang Dai, Liyuan Qi, Tao Dong
      Pages 61-73

    3. Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling

      • Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong, Hongkai Wang
      Pages 74-84

    4. A Neural Network for Distributed Optimization over Multiagent Networks

      • Jiazhen Wei, Sitian Qin, Wei Bian
      Pages 85-95

    5. Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization

      • Jiasen Wang, Jun Wang, Dongbin Zhao
      Pages 96-105

    6. An Efficient Method of Advertising on Online Social Networks

      • Xitao Zou, Huan Liu, Xiangguang Dai, Jiang Xiong, Nian Zhang
      Pages 106-116

  4. Supervised/Unsupervised/Reinforcement Learning/Deep Learning

    1. Front Matter

      Pages 117-117
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    2. Semantic Modulation Based Residual Network for Temporal Language Queries Grounding in Video

      • Cheng Chen, Xiaodong Gu
      Pages 119-129

    3. AlTwo: Vehicle Recognition in Foggy Weather Based on Two-Step Recognition Algorithm

      • Fengxin Li, Ziye Luo, Jingyu Huang, Lingzhan Wang, Jinpu Cai, Yongping Huang
      Pages 130-141

    4. Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM)

      • Nian Zhang, Xiangguang Dai, M. A. Ehsan, Tolessa Deksissa
      Pages 142-153

    5. Deep Point Cloud Odometry: A Deep Learning Based Odometry with 3D Laser Point Clouds

      • Chi Li, Yisha Liu, Fei Yan, Yan Zhuang
      Pages 154-163

  5. Models, Methods and Algorithms

    1. Front Matter

      Pages 165-165
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    2. Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables

      • Jinchong Zhu, Liyong Zhang, Xiaochen Lai, Genglin Zhang
      Pages 167-175
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  1. Advances in Neural Networks – ISNN 2020

Keywords

About this book

This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020.

The 24 papers presented in the two volumes were carefully reviewed and selected from 39 submissions. The papers were organized in topical sections named: optimization algorithms; neurodynamics, complex systems, and chaos; supervised/unsupervised/reinforcement learning/deep learning; models, methods and algorithms; and signal, image and video processing.

Editors and Affiliations

  • Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China

    Min Han

  • School of Science, Harbin Institute of Technology, Weihai, China

    Sitian Qin

  • School of Engineering and Applied Sciences, University of the District of Columbia, Washington, USA

    Nian Zhang

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