Emerging Intelligent Computing Technology and Applications

1. Front Matter

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2. Neural Networks

   1. A Hybrid Approach for Large Scale Causality Discovery

      • Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen

      Pages 1-6

   2. Fast Wavelet Transform Based on Spiking Neural Network for Visual Images

      • Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Liuping Huang

      Pages 7-12

   3. Further Analysis on Stability for a Class of Neural Networks with Variable Delays and Impulses

      • Chang-bo Yang, Xing-wei Zhou, Tao Wang

      Pages 13-18

   4. A New Result of Periodic Oscillations for a Six-Neuron BAM Neural Network Model

      • Chunhua Feng, Yuanhua Lin

      Pages 19-24

   5. A Self-Organized Fuzzy Neural Network Approach for Rule Generation of Fuzzy Logic Systems

      • Juan C. Figueroa-García, Cynthia Ochoa-Rey, Jose Avellaneda-González

      Pages 25-30

3. Systems Biology and Computational Biology

   1. Scoring Protein-Protein Interactions Using the Width of Gene Ontology Terms and the Information Content of Common Ancestors

      • Guangyu Cui, Kyungsook Han

      Pages 31-36

   2. Database of Protein-Nucleic Acid Binding Pairs at Atomic and Residue Levels

      • Byungkyu Park, Hyungchan Kim, Sangmin Lee, Kyungsook Han

      Pages 37-42

4. Computational Genomics and Proteomics

   1. Assessment of Protein-Graph Remodeling via Conformational Graph Entropy

      • Sheng-Lung Peng, Yu-Wei Tsay

      Pages 43-48

5. Knowledge Discovery and Data Mining

   1. A Novel Feature Selection Technique for SAGE Data Classification

      • K. R. Seeja

      Pages 49-54

   2. Chinese Sentiment Classification Based on the Sentiment Drop Point

      • Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang

      Pages 55-60

6. Evolutionary Learning and Genetic Algorithms

   1. Multi-objectivization and Surrogate Modelling for Neural Network Hyper-parameters Tuning

      • Martin Pilát, Roman Neruda

      Pages 61-66

7. Machine Learning Theory and Methods

   1. Automated Model Selection and Parameter Estimation of Log-Normal Mixtures via BYY Harmony Learning

      • Yifan Zhou, Zhijie Ren, Jinwen Ma

      Pages 67-72

8. Biomedical Informatics Theory and Methods

   1. A Simple but Robust Complex Disease Classification Method Using Virtual Sample Template

      • Shu-Lin Wang, Yaping Fang, Jianwen Fang

      Pages 73-80

   2. Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes

      • Lin Yuan, Wen Sha, Zhan-Li Sun, Chun-Hou Zheng

      Pages 81-87

9. Particle Swarm Optimization and Niche Technology

   1. A Hybrid Gene Selection and Classification Approach for Microarray Data Based on Clustering and PSO

      • Shanxiu Yang, Fei Han, Jian Guan

      Pages 88-93

10. Unsupervised and Reinforcement Learning

    1. Manifold Learner Ensemble

       • Peng Zhang, Chunbo Fan, Yuanyuan Ren, Nina Zhang

       Pages 94-99

11. Intelligent Computing in Bioinformatics

    1. Two Improved Artificial Bee Colony Algorithms Inspired by Grenade Explosion Method

       • Chaoqun Zhang, Jianguo Zheng, Yongquan Zhou

       Pages 100-105

    2. 3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm

       • Xiaoli Lin, Fengli Zhou

       Pages 106-111

    3. An Effective Parameter Estimation Approach for the Inference of Gene Networks

       • Yu-Ting Hsiao, Wei-Po Lee

       Pages 112-117

This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. The 192 revised full papers presented in the three volumes LNCS 7995, LNAI 7996, and CCIS 375 were carefully reviewed and selected from 561 submissions. The papers in this volume (CCIS 375) are organized in topical sections on Neural Networks; Systems Biology and Computational Biology; Computational Genomics and Proteomics; Knowledge Discovery and Data Mining; Evolutionary Learning and Genetic Algorithms; Machine Learning Theory and Methods; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Unsupervised and Reinforcement Learning; Intelligent Computing in Bioinformatics; Intelligent Computing in Finance/Banking; Intelligent Computing in Petri Nets/Transportation Systems; Intelligent Computing in Signal Processing; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in Robotics; Intelligent Computing in Computer Vision; Special Session on Biometrics System and Security for Intelligent Computing; Special Session on Bio-inspired Computing and Applications; Computer Human Interaction using Multiple Visual Cues and Intelligent Computing; Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications.

• algorithm model
• bio inspired computation
• image processing and pattern recognition
• machine learning
• multimodal optimization

• Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

  De-Shuang Huang

• Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India

  Phalguni Gupta

• Tsinghua University, Beijing, China

  Ling Wang

• Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India

  Michael Gromiha

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