Population Analysis Based on Neural Network of Rational Spline Weight Functions with Cubic Numerator and Quadratic Denominator

Dai Yuan Zhang; Jia Kai Wang

doi:10.4028/www.scientific.net/AMM.713-715.1813

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Population Analysis Based on Neural Network of...

Population Analysis Based on Neural Network of Rational Spline Weight Functions with Cubic Numerator and Quadratic Denominator

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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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1813-1816

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1813

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Online since:

January 2015

Authors:

Dai Yuan Zhang*, Jia Kai Wang

Keywords:

Neural Network, Population Analysis, Rational Spline Weight Function

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* - Corresponding Author

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