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Cover of Machine Learning Applications in Non-Conventional Machining Processes (Advances in Computational Intelligence and Robotics, 1)

Book guide and evaluation

Machine Learning Applications in Non-Conventional Machining Processes (Advances in Computational Intelligence and Robotics, 1)

Pritam Pain (editor)

English Beginner Artificial Intelligence (AI)
4.9 / 5

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Published

339

pages

325

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Traditional machining has many limitations in todays technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algori

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What will you get from this book?

Traditional machining has many limitations in todays technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking.Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in todays technology-driven market.

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