通过切比舍夫激活WASD神经网络对欧洲人口近未来的预测

Yunong Zhang, Jinjin Wang, Qingkai Zeng, H. Qiu, Hongzhou Tan
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引用次数: 4

摘要

随着世界人口的迅速增长,人口与有限资源之间的矛盾日益严重。人口增长是许多环境和社会问题的根源。因此,人口预测是至关重要的。然而,基于标准队列成分法的预测没有考虑到所有相关的影响因素,可能会忽略一些重要的不确定性因素。为了克服固有的局限性,在本文中,我们提出了一种切比雪夫激活WASD神经元方法用于人口预测。将该神经网络方法应用于欧洲人口预测,并进行了大量的数值实验作为研究基础,以保证方法的可行性和有效性。据预测,欧洲人口极有可能在不久的将来减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near future prediction of European population through Chebyshev-activation WASD neuronet
With the world population increasing rapidly, the conflicts between the population and limited resources have become more and more severe. Population growth is a root cause of many environmental and social problems. Therefore, it is of vital importance to make population predictions. However, predictions based on standard cohort-component method fails to consider all relevant impact factors and may neglect some important uncertainty factors. To overcome the inherent limitations, in this article, we present a Chebyshev-activation WASD neuronet approach for the population prediction. This neuronet method is applied to predicting European population, with numerous numerical experiments conducted as a research basis to guarantee the feasibility and validity of our approach. It is predicted with the most possibility that European population will decrease in the near future.
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