N-GEN-(22)
所属分类:人工智能/神经网络/深度学习
开发工具:Others
文件大小:351KB
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上传日期:2012-01-06 23:29:02
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SALIM2017
说明: The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific factor combination, and (3) use a genetic algorithm to optimize
parameter design. Effectiveness of the proposed approach is illustrated with a simulated example. Analysis
results reveal that the approach has higher performance than the traditional experimental design.
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N GEN (22).pdf (397995, 2011-05-06)
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