Forecasting the Rural Per Capita Living Consumption Based on Matlab BP Neural Network
Guo Qian, Hao Yong

Abstract
Resident consumption is the important for the rapid and sustainable economic growth in China, and the number of rural residents is almost half of the total number, and forecasting the rural residents per capita living consumption accurately and reliably provide important basis for the government to establish new development strategies. Therefore, prediction of rural per capita living consumption is one of the important contents of the analysis of Chinese economy development in the future. In recent years, there are many prediction methods about the consumption, but some is low accuracy. In this paper, the BP neural network based on Matlab simulates the rural residents per capita living consumption, and forecasts the consumption expenditure in future three years through the actual data test and empirical analysis. Prediction results show that this method has high prediction accuracy; the model is feasible and effective in the application of forecast residents living consumption.

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