A Forecasting Approach on Development of Manufacturing Industry Using Support Vector Machine Combined with Grey System

In order to solve the manufacturing time series forecasting problem, a grey support vector machines (GSVM) with differential evolution algorithms is proposed. GM (1, N) model of grey system is used to add a grey layer before neural input layer and white layer after support vector machine layer. Differential evolution (DE) algorithm is used to determine free parameters of support vector machines. Evaluation method has been used for comparing the performance of forecasting techniques. The experiments show that the proposed model in this paper outperforms either GM (1, N) model or support vector machine model with DE algorithms in the field of forecast.