Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development
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this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days).
Author(s): Madhu Jain, Dinesh K Sharma, Rakhee Kulshrestha, H.S. Hota
Format: Paperback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: CRC Press
ISBN-13: 9781032479293, 978-1032479293
Synopsis
The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airports intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.
The book:
Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways
Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems
Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases
Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved
Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach
The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.
