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Innovations in Intelligent Systems Softcover reprint of hardcover 1st ed. 2004 [Pehme köide]

  • Formaat: Paperback / softback, 468 pages, kõrgus x laius: 235x155 mm, kaal: 833 g, 6 Illustrations, color; 10 Illustrations, black and white; XXV, 468 p. 16 illus., 6 illus. in color., 1 Paperback / softback
  • Sari: Studies in Fuzziness and Soft Computing 140
  • Ilmumisaeg: 05-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642057845
  • ISBN-13: 9783642057847
  • Pehme köide
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  • Formaat: Paperback / softback, 468 pages, kõrgus x laius: 235x155 mm, kaal: 833 g, 6 Illustrations, color; 10 Illustrations, black and white; XXV, 468 p. 16 illus., 6 illus. in color., 1 Paperback / softback
  • Sari: Studies in Fuzziness and Soft Computing 140
  • Ilmumisaeg: 05-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642057845
  • ISBN-13: 9783642057847
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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Springer Book Archives
1 Theory.-
1. Use of multi-category proximal SVM for data set reduction.-
2. Bayesian control of dynamic systems.-
3. AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation.-
4. An algorithmic approach to the main concepts of rough set theory.-
5. Automated case selection from databases using similarity-based rough approximation.-
6. An induction algorithm with selection significance based on a fuzzy derivative.-
7. Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity.-
8. An automated report generation tool for the data understanding phase.-
9. Finding trigonometric identities with tree adjunct grammar guided genetic programming.- 2 Applications.-
10. Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration.-
11. Intelligent information systems based on paraconsistent logic programs.-
12. Neuro-fuzzy paradigms for intelligent energy management.-
13. Information space optimization for inductive learning.-
14. Detecting, tracking, and classifying human movement using active contour models and neural networks.-
15. Fuzzy sets in investigation of human cognition processes.-
16. A full explanation facility for an MLP network that classifies low-back-pain patients and for predicting MLP reliability.-
17. Automatic translation to controlled medical vocabularies.-
18. A genetic programming for the induction of natural language parser.- List of contributors.