Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

1. Front Matter

   Pages i-xxiv

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2. Natural Computation: Theory and Algorithms - Deep Learning and Feedforward Neural Networks

   1. Front Matter

      Pages 1-1

      PDF

   2. Optimizing Convolutional Neural Network Architecture Using a Self-adaptive Harmony Search Algorithm

      • Yin-Fu Huang, Jung-Sheng Liu

      Pages 3-12

   3. Global Features of Fused Frame Relationships Help Video Classification

      • MengYao Kong, Pin Lv

      Pages 13-20

   4. A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images

      • Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao

      Pages 21-29

   5. Att-ConvLSTM: PM2.5 Prediction Model and Application

      • Zhe Xu, Yi Lv

      Pages 30-40

   6. SAR Ship Detection Method Based on Convolutional Neural Network and Multi-layer Feature Fusion

      • Bangzheng Yue, Wenda Zhao, Song Han

      Pages 41-53

   7. Deep Learning Training Management Platform Based on Distributed Technologies in Resource-Constrained Scenarios

      • Jie Li, Guoteng Wang, Changsheng Zhang, Bin Zhang

      Pages 54-62

   8. A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition

      • Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu

      Pages 63-71

   9. Multi-level Feature Combination in Dialogue State Tracking

      • Yang Zheng, Ruifang Liu, Sheng Gao

      Pages 72-80

   10. Unmanned Aerial Vehicles Path Planning Based on Deep Reinforcement Learning

       • Guoqiu Wang, Xuanyu Zheng, Haitong Zhao, Qidong Zhao, Changsheng Zhang, Bin Zhang

       Pages 81-88

   11. Apple Freshness Recognition Technology Based on Gas Sensors

       • Wei Wang, Zhihui Guo, Maozhen Li, Yungang Liu

       Pages 89-104

   12. A Review of the Theory and Method for New Developed Feedforward Neural Networks

       • Daiyuan Zhang

       Pages 105-112

   13. Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles

       • Yong Liu

       Pages 113-120

3. Natural Computation: Theory and Algorithms - Genetic and Evolutionary Algorithms

   1. Front Matter

      Pages 121-121

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   2. A Model and an Algorithm for Empty Car Distribution in Railway Transportation

      • Lanfen Liu, Xinfeng Yang

      Pages 123-131

   3. Levelized Cost of Energy Optimization Method for the Dish Solar Thermal Power Generation System

      • Genye Dang, Hongsheng Su, Biao Yue

      Pages 132-140

   4. A Novel Ant Colony Optimization Algorithm with Dynamic Control Population for Community Detecting

      • Jianjun Chen, Shupeng Gao, Zhen Su, Siqi Chen, Xianghua Li

      Pages 141-148

   5. A Hybrid Bat Algorithm Based on Combined Semantic Measures for Word Sense Disambiguation

      • Xu Ying, Aws Hamed Hamad

      Pages 149-157

   6. A Multi-objective Optimization Algorithm Based on Monarch Butterfly Optimization

      • Rui Hu, Jian Gao, Rong Chen, Jiahao Jiang

      Pages 158-167

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

• Natural Computation
• Fuzzy Systems
• Knowledge Discovery
• ICNC-FSKD
• ICNC-FSKD 2019

• School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Japan

  Yong Liu

• School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

  Lipo Wang

• Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

  Liang Zhao

• School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

  Zhengtao Yu

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