Prediction model of the unemployment rate for nanyang in henan province based on BP neural network

Abstract

A prediction model for the unemployment rate of Nanyang in Henan province based on BP (Back Propagation) neural network has been built in this paper. The training samples are from the data in Nanyang statistical yearbook, and the prediction model has been simulated by the MATLAB software. It's concluded that it is fully feasible to adopt the BP neural network to predict unemployment rate from the results, which provides some employment guidance for early warning.