Fuzzy logic and intelligent systems
By: edited by Hua Li, Madan Gupta.
Contributors: Li, Hua, 1956-; Gupta, Madan M.
Series: International series in intelligent technologies ;; 3
Publisher: Kluwer Academic Publishers
Published: 1995
Place of publication: Boston
Language: eng
Number of pages: 445
Subjects: Neural networks (Computer science); Fuzzy systems.; Expert systems (Computer science)
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.
Notes: Includes bibliographical references and index.