Neural Information Processing

1. Front Matter

   Pages I-XVIII

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2. Computational Intelligence

   1. Front Matter

      Pages 1-1

      PDF

   2. Multi-Robot Task Allocation Based on Cloud Ant Colony Algorithm

      • Xu Li, Zhengyan Liu, Fuxiao Tan

      Pages 3-10

   3. Firefly Algorithm for Demand Estimation of Water Resources

      • Hui Wang, Zhihua Cui, Wenjun Wang, Xinyu Zhou, Jia Zhao, Li Lv et al.

      Pages 11-20

   4. Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence

      • Zhicheng Lu, Yuk Ying Chung, Henry Wing Fung Yeung, Seid Miad Zandavi, Weiming Zhi, Wei-Chang Yeh

      Pages 21-30

   5. OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems

      • Sabri Arik, Laszlo-Barna Iantovics, Sandor-Miklos Szilagyi

      Pages 31-40

   6. H-PSO-LSTM: Hybrid LSTM Trained by PSO for Online Handwriter Identification

      • Hounaïda Moalla, Walid Elloumi, Adel M. Alimi

      Pages 41-50

   7. A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble

      • Bara Miskony, Dianhui Wang

      Pages 51-60

   8. Selection Mechanism in Artificial Bee Colony Algorithm: A Comparative Study on Numerical Benchmark Problems

      • Xinyu Zhou, Hui Wang, Mingwen Wang, Jianyi Wan

      Pages 61-69

   9. Adaptive Fireworks Algorithm Based on Two-Master Sub-population and New Selection Strategy

      • Xiguang Li, Shoufei Han, Liang Zhao, Changqing Gong

      Pages 70-79

   10. A Novel Osmosis-Inspired Algorithm for Multiobjective Optimization

       • Corina Rotar, Laszlo Barna Iantovics, Sabri Arik

       Pages 80-88

   11. A Memetic Algorithm for Community Detection in Bipartite Networks

       • Xiaodong Wang, Jing Liu

       Pages 89-99

   12. Complex-Valued Feedforward Neural Networks Learning Without Backpropagation

       • Wei Guo, He Huang, Tingwen Huang

       Pages 100-107

   13. Distributed Recurrent Neural Network Learning via Metropolis-Weights Consensus

       • Najla Slama, Walid Elloumi, Adel M. Alimi

       Pages 108-119

   14. Bayesian Curve Fitting Based on RBF Neural Networks

       • Michael Li, Santoso Wibowo

       Pages 120-130

   15. An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method

       • Bingjie Zhang, Tao Gao, Long Li, Zhanquan Sun, Jian Wang

       Pages 131-139

   16. Removing Bias from Diverse Data Clusters for Ensemble Classification

       • Sam Fletcher, Brijesh Verma

       Pages 140-149

   17. An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weights

       • Qin Liu, Zhaoyang Sang, Hua Chen, Jian Wang, Huaqing Zhang

       Pages 150-159

   18. Feature Selection Using Smooth Gradient \(L_{1/2}\) Regularization

       • Hongmin Gao, Yichen Yang, Bingyin Zhang, Long Li, Huaqing Zhang, Shujun Wu

       Pages 160-170

   19. Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids

       • Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Lizhi Peng, Martin K. Purvis, Maryam Purvis

       Pages 171-181

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563  full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing. 

• Adaptive dynamic programming
• Artificial intelligence
• Biologically inspired computing
• Brain-computer interface
• Computational intelligence
• Artificial Intelligence
• machine learning
• neural networks
• image processing
• genetic algorithms
• signal processing
• evolutionary algorithms
• learning algorithms
• Support Vector Machines (SVM)
• particle swarm optimization (pso)
• classifiers
• user interfaces
• image reconstruction
• recurrent neural networks
• algorithm analysis and problem complexity

• Guangdong University of Technology, Guangzhou, China

  Derong Liu, Shengli Xie

• South China University of Technology, Guangzhou, China

  Yuanqing Li

• Institute of Automation, Chinese Academy of Sciences, Beijing, China

  Dongbin Zhao

• King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

  El-Sayed M. El-Alfy

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