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Synopsis
Fuzzy logic principles, practices, and real-world applications
This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.
Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.
- Serves as a classroom guide and as an on-the-job resource
- Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students
- Written by an expert in the field and experienced author
"synopsis" may belong to another edition of this title.
About the Author
Lefteri H. Tsoukalas is a professor of engineering and founding director of the AI Systems Lab at Purdue University. He has three decades of experience in intelligent systems with over 300 research publications and is the author of Fuzzy and Neural Approaches in Engineering. Dr. Tsoukalas is a fellow of the American Nuclear Society and the 2009 recipient of the Humboldt Prize.
"About this title" may belong to another edition of this title.
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning
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McGraw Hill (edition 1), 2023
ISBN 10: 1264675917
ISBN 13: 9781264675913
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning
Published by
McGraw Hill (edition 1), 2023
ISBN 10: 1264675917
ISBN 13: 9781264675913
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning (Paperback)
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McGraw-Hill Education, OH, 2023
ISBN 10: 1264675917
ISBN 13: 9781264675913
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Paperback. Condition: new. Paperback. Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781264675913
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning (Paperback)
Published by
McGraw-Hill Education, OH, 2023
ISBN 10: 1264675917
ISBN 13: 9781264675913
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. Paperback. Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781264675913
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