Improving Multi-Panel Lamination Process Optimization using Response Surface Methodology and Neural Network
2k factorial experiment is the most general method of experimental design unusually used for factor screening. It helps to reduce the number of experiment trials by investigating multiple factors at the same time. As each factor in 2k factorial experiment contains 2 levels, it can only use to constr...
محفوظ في:
المؤلف الرئيسي: | Laosiritaworn,W.S. |
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التنسيق: | Conference or Workshop Item |
منشور في: |
Springer Verlag
2015
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الموضوعات: | |
الوصول للمادة أونلاين: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906542897&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39056 |
الوسوم: |
إضافة وسم
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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Optimizing Interface Area of Percolated Domains in Two Dimensional Binary Compound: Artificial Neural Network Modeling on Monte Carlo Experiments
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منشور في: (2015) -
Statistical optimization for the production of D-mannose isomerase by Saccharothrix sp. CMU-K747 using response surface methodology
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منشور في: (2015) -
Multi-panel lamination process optimization with design of experiment
بواسطة: Wimalin S. Laosiritaworn, وآخرون
منشور في: (2018) -
Robust design for etching process parameters of hard disk drive slider fabrication using data mining and multi response optimization
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منشور في: (2015)