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《Control and Instruments in Chemical Industry》 2017-10
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Prediction Model of Cement Strength Based on Grey BP Network

REN Hong;LI Jun-li;Faculty of Information Engineering & Automation,Kunming University of Science and Technology;  
The cement strength prediction has characteristics of multi-variable,nonlinearity and large time delay and the traditional linear regression method results in a poor prediction accuracy; in addition,the conventional BP neural network may not be accurate enough for a few samples. In this paper,the grey BP model was established to predict cement strength. Having multi-factor grey model GM( 1,N) used to preprocess the sample data of cement's chemical component so as to get new data for the prediction model established through the BP neural network. Simulation results of applying BP network model to predict 28-day cement strength show that,the effect of grey BP forecasting model is more accurate than that of BP.
【Fund】: 国家自然科学基金项目(61163051);; 云南省教育厅科学研究基金项目(2015Y071)
【CateGory Index】: TP183;TQ172.1
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