Global Nuclear Weapons Trends Forecast Via Machine Learning

Xinlong Zhang, Jingdong Wang, Shao Qi,Pan Liu,Li Li,W. Eric Wong

2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)(2023)

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摘要
Nuclear weapons have seriously threatened the survival of the global human race. To predict the development trend of global nuclear weapons, we downloaded the nuclear weapons data of major countries from the website of APMCM 2022. Then we analyze these data using machine learning and predict the number of nuclear weapons in the world for the next 100 years. Finally, we predict the main areas of future nuclear war and the death toll caused by nuclear war by constructing a model. The purpose of this paper is to call on all countries to limit the use of nuclear weapons and realize the common peace of mankind by predicting the trend of global nuclear weapons and the disastrous consequences brought by nuclear weapons.
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关键词
nuclear weapon,trend prediction,machine learning,nuclear war,world peace
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