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In this paper, the improved structural optimization algorithm of the flexible neural tree model is employed to select the parameters for the industrial production. With the highest accuracy and the shortest time to find the important parameters affecting the production so as to provide a theoretical support for the control of fluid industry production. In the period of learning of the flexible neural...
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