Prediction of Future Population Change in Zhejiang Province Based on Gompertz—Neural Network Model

Xiangxing Tao, Yuefu Lai


With the acceleration of social progress in Zhejiang Province, the population problem is becoming more and more prominent. Taking the birth rate of Zhejiang Province as an example, this paper compares and analyzes the residual and relative errors between the initial predictive value of Gompertz model and the predictive value optimized by BP neural network, then uses the Gompertz model combined with BP neural network to predict the future nine. The population quantity, population quality, population structure, population regional distribution and other aspects of Zhejiang Province were forecasted. Finally, the corresponding countermeasures and suggestions were put forward according to the forecasting results.


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