Abstract:Most industrial systems are developed and improved more from experimental data than from theoretical analysis. In this work, the robust design and optimal design of products and processes are developed using an information-index-based artificial neural network response surface. The structure and training policy of such an artificial neural network model are determined by the cross-validation information index (CVI for short) developed in this work. In the case of noisy and limited experimental data, this infor… Show more
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