Book Volume 5050 2008

Computational Intelligence: Research Frontiers

IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures

Editors:

ISBN: 978-3-540-68858-7 (Print) 978-3-540-68860-0 (Online)

Table of contents (18 chapters)

  1. Front Matter

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  2. Machine Learning and Brain Computer Interface

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      Chapter

      Pages 1-24

      A New Framework for Machine Learning

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      Chapter

      Pages 25-47

      Bilevel Optimization and Machine Learning

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      Chapter

      Pages 48-78

      Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family

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      Chapter

      Pages 79-101

      The Berlin Brain-Computer Interface

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      Chapter

      Pages 102-116

      Basic Scheme of Neuroinformatics Platform: XooNIps

  3. Fuzzy Modeling and Control

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      Chapter

      Pages 117-139

      Collaborative Architectures of Fuzzy Modeling

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      Chapter

      Pages 140-158

      Information Fusion for Man-Machine Cooperation

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      Chapter

      Pages 159-180

      Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine

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      Chapter

      Pages 181-200

      Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments

  4. Computational Evolution

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      Chapter

      Pages 201-231

      The Burden of Proof: Part II

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      Chapter

      Pages 232-248

      Evolution of Altruistic Robots

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      Chapter

      Pages 249-261

      Simulated Evolution under Multiple Criteria Conditions Revisited

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      Chapter

      Pages 262-292

      Handling Uncertainties in Evolutionary Multi-Objective Optimization

  5. Applications

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      Chapter

      Pages 293-308

      VCV2 – Visual Cluster Validity

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      Chapter

      Pages 309-332

      Data Management by Self-Organizing Maps

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      Chapter

      Pages 333-348

      Cocktail Party Processing

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      Chapter

      Pages 349-367

      Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications

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      Chapter

      Pages 368-387

      Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches

  6. Back Matter

    Pages -