Jianqiao Sheng1, Mengzhu Xu2, Jin Han3,*, Xingyan Deng2
Journal on Big Data, Vol.3, No.4, pp. 183-190, 2021, DOI:10.32604/jbd.2021.024892
Abstract Lightning disaster risk assessment, as an intuitive method to reflect the
risk of regional lightning disasters, has aroused the research interest of many
researchers. Nowadays, there are many schemes for lightning disaster risk
assessment, but there are also some shortcomings, such as the resolution of the
assessment is not clear enough, the accuracy rate cannot be verified, and the weight
distribution has a strong subjective trend. This paper is guided by lightning disaster
data and combines lightning data, population data and GDP data. Through support
vector machine (SVM), it explores a way to combine artificial intelligence
algorithms with lightning disaster… More >
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