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Machine Learning Applications in Non-Conventional Machining Processes

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Title: Machine Learning Applications in Non-Conventional Machining Processes
Description: 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.
Authors: Goutam Kumar Bose, Pritam Pain
Resource Type: eBook.
Subjects: Machine learning, Machining--Data processing
Categories: COMPUTERS / Machine Theory, COMPUTERS / Data Science / Neural Networks, COMPUTERS / Programming / Algorithms
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2738482
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Machine Learning Applications in Non-Conventional Machining Processes
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Goutam+Kumar+Bose%22">Goutam Kumar Bose</searchLink><br /><searchLink fieldCode="AR" term="%22Pritam+Pain%22">Pritam Pain</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Machining--Data+processing%22">Machining--Data processing</searchLink>
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    Classifications:
      – Code: 671.350285631
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Machining--Data processing
        Type: general
    Titles:
      – TitleFull: Machine Learning Applications in Non-Conventional Machining Processes
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Goutam Kumar Bose
      – PersonEntity:
          Name:
            NameFull: Pritam Pain
      – PersonEntity:
          Name:
            NameFull: Goutam Kumar Bose
      – PersonEntity:
          Name:
            NameFull: Pritam Pain
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 30
              M: 01
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799836247
            – Type: isbn-electronic
              Value: 9781799836261
            – Type: isbn-electronic
              Value: 9781799836278
          Titles:
            – TitleFull: Machine Learning Applications in Non-Conventional Machining Processes
              Type: main
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