神经网络在农民收入预测中的应用

摘要

农村问题的核心是农民问题,而农民问题的焦点是收入问题.将神经网络的BP算法引入我国农民收入研究领域,并应用神经网络工具对我国农村居民家庭人均纯收入进行了预测研究.该预测模型在算法的收敛速度和预测精度方面都达到了较好的效果,对未来我国农民收入的研究具有重要意义,最后提提出了促进我国农民收入增长的各项对策和建议.%Farmer problem is the key problem of rural problem, and the focus of the farmer issue is about income. The BP neural network algorithm is introduced into farmers' income research fields, and neural network tools is applicated into the prediction research of per-capita net income of rural households in China. This forecast model has the good effect in the algorithm convergence speed and precision of prediction, and the study has an important meaning, and finally countermeasures and suggestions are proposed to promote the farmers' income growth in China.