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Considering the limited data of spare parts consumption and the stochastic and uncontrollable of the inducing factors, a new rolling forecasting model of grey least square support vector machine (LSSVM) is proposed through analyzing disadvantages of current spare parts consumption forecasting models. The new model not only develops the advantages of accumulation generation of the grey forecasting...
How to accurately predict the occurrence of landslides, and it has become one of the troubles in the mining process. The author made a brief introduction of artificial neural network and BP network model in this paper, and also analysis some important problems, such as the parameters selecting, data collecting, processing and network constituting by using the study and forecast samples which from...
In nonlinear predictive functional control, the speed of time varying response is slow. This problem is considered in this paper. A strategy, based on least squares support vector machine (LS-SVM) of nonlinear predictive functional control of recursive subspace model, is developed. The predictive model of the nonlinear predictive functional control is Hammerstein model. Gets output function of nonlinear...
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