基于人工神经网络的农民收入预测模型的应用分析——以陕西省为例

Application Analysis of Farmers' Income Forecasting Model Based on Artificial Neural Network

阐述了神经网络及其BP算法的工作原理,将神经网络的BP算法引入农民收入研究领域,并应用MATLAB神经网络工具箱对陕西省农民纯收入进行了预测研究。预测模型在预测精度和算法的收敛速度方面都达到了较好的效果,对未来农民收入的研究具有重要意义。

Operating principles of Neural Networks and BP algorithm were expounded. BP algorithm of Neural Networks was introduced into the research field of farmers＇ income. Net income of farmers in Shaanxi Province was forecasted by MATLAB Neural Networks tool case. Forecast accuracy and algorithmic convergence speed of the forecast model reached fairly good effect, which had important significance to the future research of peasants＇ income.