Innovations in Intelligent Systems / Edition 1

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Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

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Product Details

  • ISBN-13: 9783540202653
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 2/15/2004
  • Series: Studies in Fuzziness and Soft Computing Series, #140
  • Edition description: 2004
  • Edition number: 1
  • Pages: 468
  • Product dimensions: 6.30 (w) x 9.50 (h) x 1.40 (d)

Table of Contents

Ch. 1 Use of multi-category proximal SVM for data set reduction 3
Ch. 2 Bayesian control of dynamic systems 21
Ch. 3 AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation 51
Ch. 4 An algorithmic approach to the main concepts of rough set theory 89
Ch. 5 Automated case selection from databases using similarity-based rough approximation 111
Ch. 6 An induction algorithm with selection significance based on a fuzzy derivative 131
Ch. 7 Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity 151
Ch. 8 An automated report generation tool for the data understanding phase 203
Ch. 9 Finding trigonometric identities with tree adjunct grammar guided genetic programming 221
Ch. 10 Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration 237
Ch. 11 Intelligent information systems based on paraconsistent logic programs 257
Ch. 12 Neuro-fuzzy paradigms for intelligent energy management 285
Ch. 13 Information space optimization for inductive learning 315
Ch. 14 Detecting, tracking, and classifying human movement using active contour models and neural networks 343
Ch. 15 Fuzzy sets in investigation of human cognition processes 361
Ch. 16 A full explanation facility for an MLP network that classifies low-back-pain patients and for predicting MLP reliability 381
Ch. 17 Automatic translation to controlled medical vocabularies 413
Ch. 18 A genetic programming for the induction of natural language parser 435
Index 457
List of contributors 463
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