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Knowledge-Based Intelligent Information and Engineering Systems

8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part III

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Mircea Gh. Negoita

    1. KES International, 2nd Floor, London, United Kingdom

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  2. Robert J. Howlett

    1. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, Brighton, UK

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  3. Lakhmi C. Jain

    1. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3215)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KES 2004.

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Table of contents (117 papers)

  1. Operations Research Based on Soft Computing

    1. Soft Computing Approach to Books Allocation Strategy for Library

      • Junzo Watada, Keisuke Aoki, Takayuki Kawaura
      Pages 136-142

    2. Analysis of Human Feelings to Colors

      • Taki Kanda
      Pages 143-150

    3. Possibilistic Forecasting Model and Its Application to Analyze the Economy in Japan

      • Yoshiyuki Yabuuchi, Junzo Watada
      Pages 151-158

    4. A Proposal of Chaotic Forecasting Method Based on Wavelet Transform

      • Yoshiyuki Matsumoto, Junzo Watada
      Pages 159-165

    5. Fuzzy Multivariant Analysis

      • Junzo Watada, Masato Takagi, Jaeseok Choi
      Pages 166-172

  2. Web Mining and Personalization

    1. Using Coherent Semantic Subpaths to Derive Emergent Semantics

      • D. V. Sreenath, W. I. Grosky, F. Fotouhi
      Pages 173-179

    2. Retrieval of Product Reputations from the WWW

      • Takahiro Hayashi, Yosuke Kinosita, Rikio Onai
      Pages 180-186

    3. A Logic-Based Approach for Matching User Profiles

      • Andrea Calì, Diego Calvanese, Simona Colucci, Tommaso Di Noia, Francesco M. Donini
      Pages 187-195

  3. Learning and Soft Computing with Support Vector Machines (SVM) and RBF NNs

    1. Pose Classification of Car Occupant Using Stereovision and Support Vector Machines

      • Min-Soo Jang, Yong-Guk Kim, Hyun-Gu Lee, Byung-Joo Lee, Soek-Joo Lee, Gwi-Tae Park
      Pages 196-202

    2. A Fully Automatic System Recognizing Human Facial Expressions

      • Yong-Guk Kim, Sung-Oh Lee, Sang-Jun Kim, Gwi-Tae Park
      Pages 203-209

    3. A Study of the Radial Basis Function Neural Network Classifiers Using Known Data of Varying Accuracy and Complexity

      • Patricia Crowther, Robert Cox, Dharmendra Sharma
      Pages 210-216

  4. Novel Methods in Evolutionary Computation

    1. Top Down Modelling with Genetic Programming

      • Daniel Howard
      Pages 217-223

    2. A Two Phase Genetic Programming Approach to Object Detection

      • Mengjie Zhang, Peter Andreae, Urvesh Bhowan
      Pages 224-231

    3. Mapping XML Schema to Relations Using Genetic Algorithm

      • Vincent Ng, Chan Chi Kong, Stephen Chan
      Pages 232-245

    4. Diagnosing the Population State in a Genetic Algorithm Using Hamming Distance

      • Radu Belea, Sergiu Caraman, Vasile Palade
      Pages 246-255

    5. Optimizing a Neural Tree Using Subtree Retraining

      • Wanida Pensuwon, Rod Adams, Neil Davey
      Pages 256-262

  5. Bioinformatics Using Intelligent and Machine Learning Techniques

    1. Cluster Analysis of Gene Expression Profiles Using Automatically Extracted Seeds

      • Miyoung Shin, Seon-Hee Park
      Pages 263-269

    2. Prediction of Plasma Membrane Spanning Region and Topology Using Hidden Markov Model and Neural Network

      • Min Kyung Kim, Hyun Seok Park, Seon Hee Park
      Pages 270-277

    3. Speed Control and Torque Ripple Minimization in Switch Reluctance Motors Using Context Based Brain Emotional Learning

      • Mehran Rashidi, Farzan Rashidi, Mohammad Hossein Aghdaei, Hamid Monavar
      Pages 278-284

  6. Practical Common Sense Reasoning

    1. Reasoning in Practical Situations

      • Pei Wang
      Pages 285-292
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Other volumes

  1. Knowledge-Based Intelligent Information and Engineering Systems

  2. Knowledge-Based Intelligent Information and Engineering Systems

  3. Knowledge-Based Intelligent Information and Engineering Systems

Keywords

About this book

We were very pleased to once again extend to the delegates and, we are pleased to th say, our friends the warmest of welcomes to the 8 International Conference on Knowledge-Based Intelligent Information and Engineering Systems at Wellington - stitute of Technology in Wellington, New Zealand. The KES conferences attract a wide range of interest. The broad focus of the c- ference series is the theory and applications of computational intelligence and em- gent technologies. Once purely a research field, intelligent systems have advanced to the point where their abilities have been incorporated into many conventional appli- tion areas. The quest to encapsulate human knowledge and capabilities in domains such as reasoning, problem solving, sensory analysis, and other complex areas has been avidly pursued. This is because it has been demonstrated that these abilities have definite practical applications. The techniques long ago reached the point where they are being exploited to provide commercial advantages for companies and real beneficial effects on profits. KES 2004 provided a valuable mechanism for delegates to obtain a profound view of the latest intelligent systems research into a range of - gorithms, tools and techniques. KES 2004 also gave delegates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represents a uniquely valuable opportunity for - preciating the full spectrum of intelligent-systems activity and the “state of the art”.

Editors and Affiliations

  • KES International, 2nd Floor, London, United Kingdom

    Mircea Gh. Negoita

  • Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  • School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Australia

    Lakhmi C. Jain

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