The optimisation of neural network parameters using Taguchi's design of experiments approach: An application in manufacturing process modelling
Neural networks have been widely used in manufacturing industry, but they suffer from a lack of structured method to determine the settings of NN design and training parameters, which are usually set by trial and error. This article presents an application of Taguchi's Design of Experiments, to...
محفوظ في:
المؤلفون الرئيسيون: | Wimalin Sukthomya, James Tannock |
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التنسيق: | دورية |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=27744515720&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62160 |
الوسوم: |
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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The optimisation of neural network parameters using Taguchi's design of experiments approach: An application in manufacturing process modelling
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