Fuzzy Logic and Intelligent Systems
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Author 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.
Menrva's Summary
THE THESIS
This book explores the application of fuzzy logic and neural-fuzzy techniques to address complex challenges in building intelligent systems. The author, Hua-Yu Li, details how these methods can overcome obstacles related to random disturbances, imprecise data, dynamic environments, and uncertainty, making them crucial for real-world engineering problems. The text balances theoretical foundations with practical applications, aiming to serve researchers, engineers, and graduate students.
THE SCOPE MAP
- Introduction to Fuzzy Logic and its utility in engineering.
- Discussion of challenges in creating intelligent machines (random disturbances, imprecise data, dynamic environments, uncertainty).
- Exploration of Neural-Fuzzy techniques and their problem-solving capabilities.
- Coverage of recent developments in neural networks and fuzzy logic.
- Applications of these techniques in intelligent systems.
- Balance between theoretical concepts and practical applications.
- Target audience includes researchers, engineers, and graduate students.
THE AUTHORITY PERSPECTIVE
The book is positioned as a valuable resource for both academics and practitioners in the field of intelligent systems. Its strength lies in bridging theoretical advancements in neural networks and fuzzy logic with their direct application to engineering problems. The dual focus on theory and application makes it a comprehensive text for those seeking to understand and implement advanced AI concepts.
Page Count:
445
Publication Date:
1995-01-01
ISBN-10:
0792395751
Art
Non-Fiction
Science
Mathematics
Engineering
Computer Science
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