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《JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY》 2000-01
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Optimization of Object Input Variables Based on Artificial Neural Network

PEI Xu dong, HUANG Cong ming (School of Chemical Engineering and Materials Science, Beijing Institute of Technology, Beijing100081)  
To study the optimal method of object's input variables, based on the ANN model of the studied object, the gradient of the output to input variables was calculated. Using constrained gradient optimal method, the optimal value of input variables was searched. The results of optimization of input variables were close to the ones in the references. The method is feasible for finding optimal production conditions or optimal input variables of procedure or objects.
【CateGory Index】: TP18
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