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ISBN: 9780792395751

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… Altro …

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ISBN: 9780792395751

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 d… Altro …

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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 d… Altro …

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2000, ISBN: 9780792395751

Springer, 1995-07-31. Hardcover. Like New. 1.2000 in x 9.5000 in x 6.3000 in., Springer, 1995-07-31, 5

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Dettagli del libro
Fuzzy Logic and Intelligent Systems

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.

Informazioni dettagliate del libro - Fuzzy Logic and Intelligent Systems


EAN (ISBN-13): 9780792395751
ISBN (ISBN-10): 0792395751
Copertina rigida
Anno di pubblicazione: 1995
Editore: Springer
468 Pagine
Peso: 0,859 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-04-08T00:55:36+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-10-04T02:59:14+02:00 (Rome)
ISBN/EAN: 9780792395751

ISBN - Stili di scrittura alternativi:
0-7923-9575-1, 978-0-7923-9575-1
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : hua, madan
Titolo del libro: fuzzy systems, fuzzy logic


Dati dell'editore

Autore: Hua Harry Li; Madan M. Gupta
Titolo: International Series in Intelligent Technologies; Fuzzy Logic and Intelligent Systems
Editore: Springer; Springer Netherland
450 Pagine
Anno di pubblicazione: 1995-07-31
Dordrecht; NL
Peso: 0,863 kg
Lingua: Inglese
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XIV, 450 p.

BB; Mathematical Logic and Foundations; Hardcover, Softcover / Mathematik/Grundlagen; Mathematik: Logik; Verstehen; Analysis; Racter; evolution; fuzzy; fuzzy control; fuzzy logic; fuzzy system; intelligent systems; linear optimization; neural network; programming; robot; sensing; uncertainty; Artificial Intelligence; Operations Research/Decision Theory; Computer Science, general; Mathematical Logic and Foundations; Artificial Intelligence; Operations Research and Decision Theory; Computer Science; Mathematische Grundlagen; Künstliche Intelligenz; Unternehmensforschung; Management: Entscheidungstheorie; Informatik; BC; EA

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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