Computational Intelligence: Imitating Life

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Editorial Reviews

Describes emerging technologies relating to biologically, psychologically, and linguistically motivated models that exhibit various facets of computational intelligence. Covers learning, reasoning, and evolution paradigms, machine learning from data, neural and fuzzy information processing, and approximate reasoning. The articles were prepared for the 1994 World Congress on Computational Intelligence in Orlando, Florida. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780780311046
  • Publisher: IEEE
  • Publication date: 7/1/1994
  • Pages: 448

Table of Contents

What is Computational Intelligence 1
Unsupervised Learning for Feature Extraction 13
Fuzzy Systems That Can Learn 23
Learning as Adaptive Interpolation in Neural Fuzzy Systems 31
Context Vectors General Purpose Approximate Meaning Representations Self-Organized From Raw Data 43
Neural Representation of Space in Rats and Robots 57
Similarity-Based Approximate Reasoning 69
Computational Intelligence in High Level Computer Vision: Determining Spatial Relationships 81
Fuzzy Modelling: Methodology, Algorithms, and Practice 92
Reasoning Under Uncertainty and Learning in Knowledge Based Systems: Imitating Human Problem Solving Behavior 104
On the Evolution of Evolutionary Computation 116
Genetic Algorithms: A 25 Year Perspective 125
Evolutionary Programming in Perspective: The Top-Down View 135
Evolution Strategy 147
Toward Adaptive Intelligent Systems: The Double Helix of Artificial Intelligence and Artificial Life 160
How to Select Genetic Operators for Combinatorial Optimization Problems by Analyzing their Fitness Landscape 170
Theory and Application of the Breeder Genetic Algorithm 182
Neural Networks and Pattern Recognition 194
Neurobiological Computational Systems 213
Visual Preprocessing: First and Second Order Processes in the Perception of Motion and Texture 223
Visual Learning of Objects Neural Models of Shape, Color, Motion and Space 237
Computational Color Vision Models by Neural Networks 252
Status of Auditors Modeling Research and its Relationship to Automatic Speech Recognition 264
Biology-Inspired Pulse Processing Neural Nets with Adaptive Weights and Delays - Concept Sources from Neuroscience Vs. Applications in Industry and Medicine 276
Learning of Neural-Controllers in Intelligent Control Systems 285
Integration of Fuzzy Control Within Hierarchically Structured Control Systems 293
Qualitative Modeling Based on Numerical Data and Knowledge Data, and its Application to Control 304
Fuzzy Logic Controllers: An Industrial Reality 316
Learning Control Aspects in Terms of Neuro-Control 328
Self-Generation of Neural-Net Controller by Training in Natural Environment 340
Fuzzy-Neuro-GA Based Intelligent Robotics 352
Hybrid Approaches for Fuzzy Data Analysis and Configuration Using Genetic Algorithms and Evolutionary Methods 364
Combinations of Genetic Algorithms with Neural Networks or Fuzzy Systems 371
A Neo Fuzzy Neuron and Its Applications to System Identification and Prediction of Chaotic Behavior 383
Integrating Neural Networks for Real World Applications 396
Neural Networks for Fighting Crime 406
Genetic Algorithms for Optimization: Three Case Studies 416
Neural-Computing Awareness and Technology Transfer - A UK Government Programme 427
New Paradigms in Technology Transfer 434
Author Index 443
Subject Index 444
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