• Data-driven optimization of manufacturing processes[electronic resource] /
  • レコード種別: コンピュータ・メディア : 単行資料
    [NT 15000414] null: 670.285
    タイトル / 著者: Data-driven optimization of manufacturing processes/ Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors.
    その他の著者: Kalita, Kanak,
    出版された: Hershey, Pennsylvania : : IGI Global,, 2021.
    記述: 1 online resource (xvi, 298 p.)
    主題: Manufacturing processes - Data processing.
    主題: Engineering economy - Data processing.
    国際標準図書番号 (ISBN) : 9781799872085 (ebk.)
    国際標準図書番号 (ISBN) : 9781799872061 (hbk.)
    国際標準図書番号 (ISBN) : 9781799872078 (pbk.)
    [NT 15000227] null: Includes bibliographical references and index.
    [NT 15000228] null: Chapter 1. Minimization of casting defects using Taguchi method -- Chapter 2. Evaluation of optimum parameters for casting of Birla Lance pipes -- Chapter 3. Investigating the effect of process parameters in incremental sheet forming process -- Chapter 4. Optimization of surface roughness in centreless grinding process based on Taguchi method -- Chapter 5. MOORA-driven decision making to select the optimal specimen of organic CMCs -- Chapter 6. TOPSIS-based selection of optimal proportion among different combinations of hybrid AMCs -- Chapter 7. A comparative assessment of TOPSIS variants in multi-attribute optimization of EDM process parameters -- Chapter 8. An integrated CRITIC-MARCOS technique for analysing the performance of steel industry -- Chapter 9. Data-driven genetic programming-based symbolic regression metamodels for EDM process -- Chapter 10. Machine learning-based predictive modelling of dry electric discharge machining process -- Chapter 11. Non-traditional machining process selection: a holistic approach from a customer standpoint -- Chapter 12. Parametric optimization of electrochemical discharge machining using particle swarm optimization algorithm -- Chapter 13. Optimization of drilling parameters for composite laminate using genetic algorithm -- Chapter 14. Solution for multi-objective single row facility layout problem using PSO algorithm -- Chapter 15. Progress in optimization of physical vapor deposition of thin films.
    [NT 15000229] null: "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"--
    電子資源: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1
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