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| Titre : | Fuzzy Logic intelligent systems | | Type de document : | texte imprime | | Auteurs : | Hua li ; Gupta Madan | | Editeur : | Boston : Kluwer Academic Publishers | | Année de publication : | 1995 | | Importance : | 445 p. | | Présentation : | ill. | | Format : | 24 cm | | ISBN/ISSN/EAN : | 978-0-7923-9575-1 | | Note générale : | Bibliogr. | | Langues : | Anglais | | Mots-clés : | Fuzzy logic Fuzzy control Neural networks Intelligent systems Fuzzy inference Neural computing | | Résumé : | One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students. | | Permalink : | ./index.php?lvl=notice_display&id=9516 |
Fuzzy Logic intelligent systems [texte imprime] / Hua li ; Gupta Madan . - Boston : Kluwer Academic Publishers, 1995 . - 445 p. : ill. ; 24 cm. ISBN : 978-0-7923-9575-1 Bibliogr. Langues : Anglais | Mots-clés : | Fuzzy logic Fuzzy control Neural networks Intelligent systems Fuzzy inference Neural computing | | Résumé : | One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students. | | Permalink : | ./index.php?lvl=notice_display&id=9516 |
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