论文标题

GES模型:将Pearson相关系数分析与多层感知器相结合

GES Model :Combining Pearson Correlation Coefficient Analysis with Multilayer Perceptron

论文作者

Sui, Chunyu, Li, Xinrui, Song, Yinghang, Huang, Sirui, Zan, Yunpeng

论文摘要

随着技术进步的发展,小行星上的采矿已成为现实。本文重点介绍了如何以合理的方式分配小行星矿产资源以确保全球股权。为了公平地分配小行星资源,引入了7个主要指标和20个次要指标,以构建一个数学模型来评估全球权益,并且权重由分析层次结构过程(AHP)给出。然后,基于12个主要指标和40个次要指标的全球股权评分(GES)模型,并应用了TOPSIS方法来对所有国家进行排名。使用T分布概率密度函数来模拟小行星挖掘的速率。向后算法用于定量测量不断变化的指标对全球权益的影响。然后,针对每个指标进行了Pearson相关系数分析,最后执行t检验。结果表明,小行星开采促进了全球股权,即贫穷国家可以分配更多的矿产资源,并给出了每种措施的实施时间表。为了获得更多的洞察力,进行了灵敏度分析,结果表明得分差不多7%。可以得出结论,我们的GES模型具有巨大的潜力,因为其稳健性,准确性和优势。

With the development of technological progress, mining on asteroids is becoming a reality. This paper focuses on how to distribute asteroid mineral resources in a reasonable way to ensure global equity. To distribute asteroid resources fairly, 7 primary indicators and 20 secondary indicators are introduced to build a mathematical model to evaluate global equity and the weights are given by Analytic Hierarchy Process (AHP). Then Global Equity Score(GES) Model based on 12 primary indicators and 40 secondary indicators is built and TOPSIS method is applied to rank all countries. A t-distribution probability density function is applied to simulate the rate of asteroid mining. The Backward Algorithm is applied to quantitatively measure the impact of changing indicators on global equity. Then Pearson correlation coefficient analysis is conducted for each indicator, and t-test is performed lastly. The results demonstrate that asteroid mining promotes global equity that poor countries can be allocated slightly more mineral resources, and a schedule of the implementation of each measure is given. To gain more insight, sensitivity analysis is conducted and the results demonstrate that scores vary less than 7%. It can be concluded that our GES model have great potential as its robustness, accuracy and strengths.

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