Fuzzy Logic : Applications in Artificial Intelligence, Big Data, and Machine Learning /

This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills...

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Bibliographic Details
Main Author: Tsoukalas, Lefteri H. (Author)
Corporate Author: McGraw-Hill Companies
Format: eBook
Language:English
Language Notes:In English.
Published: New York, N.Y. : McGraw Hill LLC, [2024]
Edition:First edition.
Series:McGraw-Hill's AccessEngineeringLibrary.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills in students and professionals alike. Inside, you will discover how to apply fuzzy logic and migrate to a new man-machine relationship in the context of pervasive digitization and big data across emerging technologies. The book lays out real-world applications in intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.
Physical Description:1 online resource (304 pages) : 50 illustrations.
Also available in print and PDF edition.
Format:Mode of access: Internet via World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:9781264676132 (e-ISBN)
1264676131 (e-ISBN)