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

This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomput...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Zurada, Jacek M. (Editor ), Yen, Gary G. (Editor ), Wang, Jun (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Theoretical Computer Science and General Issues, 5050
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Machine Learning and Brain Computer Interface
  • A New Framework for Machine Learning
  • Bilevel Optimization and Machine Learning
  • Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family
  • The Berlin Brain-Computer Interface
  • Basic Scheme of Neuroinformatics Platform: XooNIps
  • Fuzzy Modeling and Control
  • Collaborative Architectures of Fuzzy Modeling
  • Information Fusion for Man-Machine Cooperation
  • Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine
  • Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments
  • Computational Evolution
  • The Burden of Proof: Part II
  • Evolution of Altruistic Robots
  • Simulated Evolution under Multiple Criteria Conditions Revisited
  • Handling Uncertainties in Evolutionary Multi-Objective Optimization
  • Applications
  • VCV2 - Visual Cluster Validity
  • Data Management by Self-Organizing Maps
  • Cocktail Party Processing
  • Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications
  • Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches.