Abstract
With the steady growth of the population in our country, the analysis of population is essential to the distribution of social resources and the improvement of the population quality. In this paper, we use the neural network of rational spline weight functions with cubic numerator and quadratic denominator to establish the model of Chinese population by four indicators, gender ratio, birth rate, elderly dependency ratio and natural increase rate. Finally we come to the conclusion through MATLAB simulation that the training speed is fast and the error is small. This kind of neural network can be applied to population analysis and it could be used in various fields.
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