Machine Learning Applications in Non-Conventional Machining Processes - Tapa blanda

 
9781799836254: Machine Learning Applications in Non-Conventional Machining Processes
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ISBN 10: 1799836258 ISBN 13: 9781799836254
Editorial: Engineering Science Reference, 2021

Sinopsis

Traditional machining has many limitations in today's 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 today's technology-driven market.

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Acerca de los autores

Goutam Kumar Bose is currently working as HOD and Professor in Mechanical Engineering Department, Haldia Institute of Technology, Haldia, India. He obtained his PhD in Production Engineering from the Jadavpur University, Kolkata, India. He has obtained a Master’s in Engineering in Mechanical Engineering from the Bengal Engineering & Science University, Shibpur, India. He has worked as an Assistant Professor in the Department of Mechanical Engineering at the College of Engineering & Management, Kolaghat for ten years. He was an Engineer in R & D Centre of M/s Hindustan Motors Ltd. West Bengal, India. His active areas of interest are Metal Cutting, Non- conventional machining and Industrial and Production Management. He has published research papers in journals of International repute. He has attended several international conferences in India and abroad.

Pritam Pain has completed his B.Tech degree from WBUT in 2014 and then completed his M.Tech degree from Haldia Institute of Technology in 2016. He is currently working as assistant professor in Haldia Institute of Technology. He had several journal papers and book chapters regarding Non-Traditional machining. He is also appointed as a reviewer in many journals. His main interest of research is in nature-inspired modern optimization algorithms.

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Editorial
Engineering Science Reference
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1799836258
ISBN 13 
9781799836254
Encuadernación
Tapa blanda
Número de páginas
344
Editor
Bose Goutam Kumar, Pain Pritam
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781799836247: Machine Learning Applications in Non-Conventional Machining Processes (Advances in Computational Intelligence and Robotics, 1)

Edición Destacada

ISBN 10:  179983624X ISBN 13:  9781799836247
Editorial: Engineering Science Reference, 2021
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