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    Полное описание

    Data-driven optimization of manufacturing processes / [edited by] Kanak Kalita, Ranjan Kumar Ghadai, Xiao-Zhi Gao. - Hershey, PA : IGI Global, Information Science Reference, [2021]. - 14 p. : ill. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=6f2969eaff520b2824deaeab644a0c73. - Includes bibliographical references and index. - ISBN 9781799872085. - ISBN 1799872084. - ISBN 9781799872092. - ISBN 1799872092. - Текст : электронный.
    "Premier Reference Source" -- Cover.
    Содержание:
    Data-driven optimization of manufacturing processes / Kanak Kalita, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India, Ranjan Ghadai, Sikkim Manipal Institute of Technology, India, Xiao-Zhi Gao, University of Eastern Finland, Finland -- Non-traditional machining process selection -- A holistic approach from customer standpoint / Manish Roy, Sikkim Manipal Institute of Technology, India, Partha Das, Sikkim Manipal Institute of Technology, India, Premchand Mahto, Sikkim Manipal Institute of Technology, India, Ankit Singh, Indian Institute of Science, India, Manish Oraon, Birla Institute of Technology, Mesra, India -- Optimization of drilling parameters for composite laminate using genetic algorithm / Subham Pal, Indian Institute of Engineering Science and Technology, Shibpur, India, Salil Haldar, Indian Institute of Engineering Science and Technology, India.
    Рубрики:
    Manufacturing processes -- Data processing
    Engineering economy -- Data processing
    Engineering economy -- Data processing
    Manufacturing processes -- Data processing

    Аннотация: 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.
    Доп. точки доступа:
    Kalita, K.\editor.\
    Ghadai, R.\editor.\
    Gao, X.\editor.\

    Полный текст


    Держатели документа:
    Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1196821996)

    Шифр в сводном ЭК: c70edb7874070e760a4f84d120119c2b



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