Computational Intelligence

by Zurada, Jacek M.; Yen, Gary G.; Wang, Jun

• ISBN13: 9783540688587
• ISBN10: 3540688587
• Format: Paperback
• Copyright: 2008-06-30
• Publisher: Springer-Verlag New York Inc

Summary

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 neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the research area of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field.

Table of Contents

Machine Learning and Brain Computer Interface
A New Framework for Machine Learning	p. 1
Bilevel Optimization and Machine Learning	p. 25
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family	p. 48
The Berlin Brain-Computer Interface	p. 79
Basic Scheme of Neuroinformatics Platform: XooNIps	p. 102
Fuzzy Modeling and Control
Collaborative Architectures of Fuzzy Modeling	p. 117
Information Fusion for Man-Machine Cooperation	p. 140
Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine	p. 159
Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments	p. 181
Computational Evolution
The Burden of Proof: Part II	p. 201
Evolution of Altruistic Robots	p. 232
Simulated Evolution under Multiple Criteria Conditions Revisited	p. 249
Handling Uncertainties in Evolutionary Multi-Objective Optimization	p. 262
Applications
VCV2 - Visual Cluster Validity	p. 293
Data Management by Self-Organizing Maps	p. 309
Cocktail Party Processing	p. 333
Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications	p. 349
Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches	p. 368
Author Index	p. 389
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