A mathematical model for grading clouds to study solar flares based on fuzzy c-means algorithm


A mathematical model for grading clouds to study solar flares based on fuzzy c-means algorithm


Xiaoxi Men1, Guozhu Chen2*, Xiaoxiong Zuo3, Haijun Guo2
1.College of Electrical Engineering & New Energy, China Three Gorges University, China. 2.College of Hydraulic & Environmental Engineering, China Three Gorges University, China. 3.College of Science, China Three Gorges University, Yichang, 443002, China.


American Journal of Basic and Applied Sciences

In this paper, a cloud-level grading comprehensive evaluation model based on fuzzy c-means algorithm is established. The image is binarized by the maximum inter-class variance method to obtain the dim curve. According to the dim curve of the four quadrants, the distribution and thickness of the cloud layer are discriminated. Three attributes of the effective area of the cloud layer, the total amount of clouds, and the thickness of the cloud amount are selected as the characteristic data of the comprehensive evaluation model.


Keywords:  Dim curve; Fuzzy c-means algorithm; Cloud grading.


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How to cite this article:
Xiaoxi Men, Guozhu Chen, Xiaoxiong Zuo, Haijun Guo. A mathematical model for grading clouds to study solar flares based on fuzzy c-means algorithm. American Journal of Basic and Applied Sciences, 2019, 2:10. DOI:10.28933/ajbsa-2019-02-1607


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