Sinossi
One of the attractions of fuzzy logic is its utility in solving many real engineering problems. 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.
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Contenuti
Preface. 1. Improvement of Fuzzy Control Methods; M. Mizumoto. 2. Neural Networks and Fuzzy Basis Functions for Functional Approximation; Liang Jin, M.M. Gupta, P.N. Nikiforuk. 3. Ordering Fuzzy Real Quantities; R. Lowen. 4. Fuzzy Logic Controllers for Aircraft Flight Control; Jia Luo, E. Lan. 5. A Classical Controller: a Special Case of the Fuzzy Logic Controller; T. Brehm, K. Rattan. 6. Real Time Fuzzy Logic Controller for Balancing a Beam-and-Ball System; N. Godfrey, Hua Li, Yuandong Ji, W. Marcy. 7. Design of Fuzzy Controllers Based on Frequency and Transient Characteristics; K. Tanaka. 8. Fuzzy Inference Integrating 3D Measuring System with Adaptive Sensing Strategy; K. Shimojima, T. Fukuda, F. Arai, H. Matsuura. 9. Robot Hand--Eye Coordination Based on Fuzzy Logic; S. Kumaresan, Hua Li, Xing-Min Li. 10. Using FPGA Technique for Design and Implementation of a Fuzzy Inference System; D. Hung. 11. An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control; H. Bersini, V. Gorrini. 12. Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming; M. Nyberg, Yoh-Han Pao. 13. Intelligent Control Using Dynamic Neural Networks with Robotic Applications; Liang Jin, M.M. Gupta, P.N. Nikiforuk. 14. Camcorder Operation Judgement Using a Neural Computing Approach; K. Kaneda, P. Wang. 15. Model Reduction and Control of Multistage Flash (MSF) Desalinization Plants; S. Ramamurthy, J. Pal, A. Sinha, D.M.K. Al Gobaisi, G.P. Rao. Index.
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 imprec. Codice articolo 5971594
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Condizione: New. Reflects the developments in neural networks and fuzzy logic, and their application in intelligent systems. This book is suitable for both researchers and engineers, as well as for graduate students. Editor(s): Li, Hua; Gupta, Madan M. Series: International Series in Intelligent Technologies. Num Pages: 450 pages, biography. BIC Classification: PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (XV) Technical / Manuals. Dimension: 234 x 156 x 25. Weight in Grams: 829. . 1995. Hardback. . . . . Codice articolo V9780792395751
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Buch. Condizione: Neu. Fuzzy Logic and Intelligent Systems | Madan M. Gupta (u. a.) | Buch | xiv | Englisch | 1995 | Springer Netherland | EAN 9780792395751 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 101829385
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. Codice articolo 9780792395751
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9780792395751
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Condizione: New. Reflects the developments in neural networks and fuzzy logic, and their application in intelligent systems. This book is suitable for both researchers and engineers, as well as for graduate students. Editor(s): Li, Hua; Gupta, Madan M. Series: International Series in Intelligent Technologies. Num Pages: 450 pages, biography. BIC Classification: PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (XV) Technical / Manuals. Dimension: 234 x 156 x 25. Weight in Grams: 829. . 1995. Hardback. . . . . Books ship from the US and Ireland. Codice articolo V9780792395751
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