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Neural Information Processing

16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II

  • Conference proceedings
  • © 2009

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Overview

Editors:
  1. Chi Sing Leung

    1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

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  2. Minho Lee

    1. School of Electrical Engineering and Computer Science, Kyungpook National University, Taegu, Korea

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  3. Jonathan H. Chan

    1. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5864)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2009.

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About this book

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

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Table of contents (98 papers)

  1. Front Matter

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  3. Control and Robotics

    1. Adaptive Sensor-Driven Neural Control for Learning in Walking Machines

      • Poramate Manoonpong, Florentin Wörgötter
      Pages 47-55
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    2. A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions

      • Shuichi Kurogi, Hiroshi Yuno, Yohei Koshiyama
      Pages 56-64
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    3. Vision-Motor Abstraction toward Robot Cognition

      • Fady Alnajjar, Abdul Rahman Hafiz, Indra Bin Mohd Zin, Kazuyuki Murase
      Pages 65-74
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    4. Adaptively Coordinating Heterogeneous Robot Teams through Asynchronous Situated Coevolution

      • Abraham Prieto, Francisco Bellas, Richard J. Duro
      Pages 75-82
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    5. RL-Based Memory Controller for Scalable Autonomous Systems

      • Osman Hassab Elgawi
      Pages 83-92
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    6. A Semantic SLAM Model for Autonomous Mobile Robots Using Content Based Image Retrieval Techniques

      • Choon Ling Tan, Simon Egerton, Velappa Ganapathy
      Pages 93-106
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  4. Evolutionary Computation

    1. Parameter Estimation Using a SCE Strategy

      • Pengfei Li, Hesheng Tang, Zhaoliang Wang
      Pages 107-113
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    2. A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction

      • Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola Kasabov
      Pages 114-121
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    3. A Multi-strategy Differential Evolution Algorithm for Financial Prediction with Single Multiplicative Neuron

      • Chukiat Worasucheep, Prabhas Chongstitvatana
      Pages 122-130
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    4. Boosted Neural Networks in Evolutionary Computation

      • Martin Holeňa, David Linke, Norbert Steinfeldt
      Pages 131-140
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    5. Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks

      • Abbas Khosravi, Saeid Nahavandi, Doug Creighton
      Pages 141-149
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    6. Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection

      • Md. Monirul Kabir, Md. Shahjahan, Kazuyuki Murase
      Pages 150-158
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    7. Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem

      • Kazi Shah Nawaz Ripon, Kyrre Glette, Omid Mirmotahari, Mats Høvin, Jim Tørresen
      Pages 159-168
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

Editors and Affiliations

  • Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  • School of Electrical Engineering and Computer Science, Kyungpook National University, Taegu, Korea

    Minho Lee

  • School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

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