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＜電子ブック＞
Fuzzy Logic and Intelligent Systems / edited by Hua Harry Li, Madan M. Gupta
(International Series in Intelligent Technologies ; 3)

版	1st ed. 1995.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	1995
本文言語	英語
大きさ	XIV, 450 p : online resource
著者標目	Hua Harry Li editor Gupta, Madan M editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Artificial intelligence LCSH:Operations research LCSH:Computer science FREE:Mathematical Logic and Foundations FREE:Artificial Intelligence FREE:Operations Research and Decision Theory FREE:Computer Science
一般注記	Improvement of Fuzzy Control Methods -- Neural Networks and Fuzzy Basis Functions for Functional Approximation -- Ordering Fuzzy Real Quantities -- Fuzzy Logic Controllers for Aircraft Flight Control -- A Classical Controller: A Special Case of The Fuzzy Logic Controller -- Real Time Fuzzy Logic Controller for Balancing a Beam-and-Ball System -- Design of Fuzzy Controllers Based on Frequency And Transient Characteristics -- Fuzzy Inference Integrating 3D Measuring System with Adaptive Sensing Strategy -- Robot Hand-Eye Coordination Based on Fuzzy Logic -- Using FPGA Technique for Design and Implementation of a fuzzy Inference System -- An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control -- Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming -- Intelligent Control Using Dynamic Neural Networks with Robotic Applications -- Camcorder Operation Judgement Using a Neural Computing Approach -- Model Reduction and Control of Multistage Flash (MSF) Desalinization Plants 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 HTTP:URL=https://doi.org/10.1007/b102307

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