Study of Chinese farmers income forecast model based on BP neural network
Pei Wang, Ting Di Zhao, Yongjun Fan, Qinglu Hao · 2014
Because of the complexity of Chinese farmers income forecast and BP neural network's ability to handle complex problem and auto-adaptive ability, the application of BP neural network in Chinese farmers income forecast is necessary and feasible. This paper establishs Chinese farmers income forecast index system, introduces neural network and gives the realization and optimization of BP neural network algorithm, establishs Chinese farmers income based on BP neural network and carry on the application and analysis of this model, Finally summarize and propose required further study question. the application of BP neural network in Chinese farmers income forecast forecast is helpful to solve the problems and difficulties brought by complexity in the forecast and complex weight adjustment and is helpful to improve the accuracy of forecast.