Fuzzy Logic and Intelligent Systems
Published on 3. October 2013
Book
Paperback/Softback
XIV, 450 pages
978-94-017-3773-9 (ISBN)
Description
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.
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1995
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XIV, 450 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 26 mm
Weight
703 gr
ISBN-13
978-94-017-3773-9 (9789401737739)
DOI
10.1007/b102307
Schweitzer Classification
Other editions
Additional editions
Hua Harry Li | Madan M. Gupta
Fuzzy Logic and Intelligent Systems
Book
07/1995
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
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.