Data-Driven Optimization of Manufacturing Processes

Data-Driven Optimization of Manufacturing Processes
Author: Kanak Kalita
Publisher:
Total Pages: 298
Release: 2020
Genre: Electronic books
ISBN: 9781799872092

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"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"--


Data-Driven Optimization of Manufacturing Processes
Language: en
Pages: 298
Authors: Kanak Kalita
Categories: Electronic books
Type: BOOK - Published: 2020 - Publisher:

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"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimizat
Data-Driven Optimization of Manufacturing Processes
Language: en
Pages: 298
Authors: Kalita, Kanak
Categories: Technology & Engineering
Type: BOOK - Published: 2020-12-25 - Publisher: IGI Global

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All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process
Data Driven Smart Manufacturing Technologies and Applications
Language: en
Pages: 218
Authors: Weidong Li
Categories: Technology & Engineering
Type: BOOK - Published: 2021-02-20 - Publisher: Springer Nature

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This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as w
Optimization of Manufacturing Processes
Language: en
Pages: 237
Authors: Kapil Gupta
Categories: Technology & Engineering
Type: BOOK - Published: 2019-06-25 - Publisher: Springer

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This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes.
Data-driven Process Optimization of Additive Manufacturing Systems
Language: en
Pages: 211
Authors: Amirmassoud Aboutaleb
Categories:
Type: BOOK - Published: 2018 - Publisher:

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The goal of the present dissertation is to develop and apply novel and systematic data-driven optimization approaches that can efficiently optimize Additive Man