基于BP神经网络的南阳市失业率预测模型仿真

Simulation of prediction model of the unemployment rate for Nanyang based on BP neural network

基于BP神经网络建立了南阳市失业率预测模型.运用南阳市统计年鉴中的相关数据建立训练样本,使用Matlab软件对预测模型进行了相关的仿真实验,结果证明预测模型能够较好地预测失业率,可以为南阳市制定就业政策提供一定的指导意见.

A prediction model for the unemployment rate of Nanyang has been built based on BP neural network in this paper. The training samples are from the data in Nanyang statistical yearbook and the prediction model has been simulated through the MA TLAB software. The results show that the prediction model can achieve the prediction effect and provide some employment guiding opinions for Nanyang.