干旱区生态环境知识资源中心(Arid): Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia

Arid

	Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia
	Ren Qing-Dao-Er-Ji; Qiu Ying; Li Tiancheng
通讯作者	Ren, QDEJ (corresponding author), Inner Mongolia Univ Technol, Sch Informat Engn, Hohhot, Peoples R China.
会议名称	IEEE 5th International Conference on Computer and Communication Systems (ICCCS)
会议日期	MAY 15-18, 2020
会议地点	ELECTR NETWORK
英文摘要	There are six deserts and sandy lands in the central and western part of Inner Mongolia, which is one of the main sources of sandstorms in China. In most areas, the surface is dry, the precipitation is low and the wind is strong in winter and spring. The analysis and study of sandstorms in this area is of great significance to the study and prediction of sandstorms in China. Based on the comprehensive analysis of the research status of sandstorms at home and abroad, the application of convolution neural network to classify satellite cloud images and establish prediction models of sandstorms are relatively few. The convolution neural network algorithm based on transfer learning is used to classify infrared satellite cloud images to establish Sand-dust Storm Prediction model, and the prediction accuracy of sand-dust storm prediction model established under different learning strategies is compared in the paper. The results show that the model training speed is fast and the accuracy and generalization ability of the model are improved by using the parameter migration initialization network in transfer learning. The Sand-dust Storm Prediction Model Based on the convolution neural network algorithm of transfer learning has a higher accuracy in predicting the occurrence of sand-dust storm and the change of learning strategies has an important influence on the prediction accuracy of sandstorm prediction model.
英文关键词	sandstorm prediction data mining convolutiol neural network satellite cloud images
来源出版物	2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2020)
出版年	2020
页码	120-124
ISBN	978-1-7281-6136-5
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000610526500023
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS研究方向	Computer Science ; Telecommunications
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353056
作者单位	[Ren Qing-Dao-Er-Ji; Qiu Ying; Li Tiancheng] Inner Mongolia Univ Technol, Sch Informat Engn, Hohhot, Peoples R China
推荐引用方式 GB/T 7714	Ren Qing-Dao-Er-Ji,Qiu Ying,Li Tiancheng. Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia[C]:IEEE,2020:120-124.