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Springer - An Introduction to Fuzzy Control - AI Book

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Description

Explore the fundamentals of artificial intelligence with An Introduction to Fuzzy Control from Springer. This book provides a deep look into fuzzy controllers, which are a specialized class of knowledge-based controllers. By using techniques rooted in fuzzy logic, these controllers serve as either independent control elements or integrated components within various industrial process control systems and consumer products. While fuzzy control applications have long been an established practice for Japanese manufacturers, they are now expanding across Europe and America. This text moves beyond ad hoc methods to demonstrate that formal techniques exist for the analysis of fuzzy controllers. It is designed to show how fuzzy control can be applied effectively in real-world scenarios, making it a valuable resource for those studying computer science, AI, and machine learning.

Key Features

Learn about knowledge-based controllers that utilize artificial intelligence techniques rooted in fuzzy logic.

Understand how fuzzy controllers function as stand-alone elements or as integrated parts of industrial systems.

Explore the growing global application of fuzzy control in consumer products and industrial processes.

Discover formal techniques used for the professional analysis of fuzzy controller systems.

Gain insights into the transition of fuzzy control technology from Japanese manufacturing to global markets.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 December 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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