基于BP神经网络的高知识群体失业率预测研究

基于MATLAB仿真平台建立了高知识群体失业率预测的BP神经网络模型,应用数据插值及曲线拟合的方法,补充了高知识群体失业调查中未采集与未公布的数据,解决了失业率预测中的不完全数据问题,训练集和检验集与实际失业数据的仿真实测误差符合实用要求,有效提升了高知识群体失业预测的精确度.

Research on Forecast Unemployment Rate of High Knowledge Group Based on BP Neural Network

Based on MATLAB simulation to compute and forecast unemployment rate of high knowledge group,the approach concerns mainly a series of works:the establishing of mathematical model to forecast unemployment rate based on BP neural network,the replenishing of unemployment data that it have not been declared or gathered for high knowledge group by piecewise polynomial fitting and interpolation,the resolution of problem that incomplete data to forecast unemployment rate,the showing of result by simulating and measuring that error between the actual unemployment data and the data belong to training set or testing set has accorded with the practical requirements,and improving effectively the precision to forecast unemployment rate of high knowledge group.