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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… Más…

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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… Más…

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Fuzzy Logic and Intelligent Systems (International Series in Intelligent Technologies) - encuadernado, tapa blanda

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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Detalles 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.

Detalles del libro - Fuzzy Logic and Intelligent Systems


EAN (ISBN-13): 9780792395751
ISBN (ISBN-10): 0792395751
Tapa dura
Año de publicación: 1995
Editorial: Springer
468 Páginas
Peso: 0,859 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-04-07T17:55:36-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-10-03T18:59:14-06:00 (Mexico City)
ISBN/EAN: 9780792395751

ISBN - escritura alterna:
0-7923-9575-1, 978-0-7923-9575-1
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: hua, madan
Título del libro: fuzzy systems, fuzzy logic


Datos del la editorial

Autor: Hua Harry Li; Madan M. Gupta
Título: International Series in Intelligent Technologies; Fuzzy Logic and Intelligent Systems
Editorial: Springer; Springer Netherland
450 Páginas
Año de publicación: 1995-07-31
Dordrecht; NL
Peso: 0,863 kg
Idioma: Inglés
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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