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Proceedings Paper

Research on early warning analysis model for Karst rocky desertification based on neural network: taking Du'an County of Guangxi as an example
Author(s): Baoqing Hu; Lian Duan; Wenbin Yang
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Paper Abstract

This paper gave a brief of basic principles of neural network, analyzed the BP algorithm applications in the neural network, and introduced the BP algorithm machinery. Based on BP algorithm, takes Karst rocky desertification in Du'an country of Guangxi province as example, proposed the neural network Karst rocky desertification early warning model structure which can realize the rocky desertification warning analysis, calculate the rocky desertification fatalness indexes, and expresses the rocky desertification early warning levels in the thematic map. The result verifies the credibility and the possibility of the early warning analysis model with BP algorithm.

Paper Details

Date Published: 29 December 2008
PDF: 10 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728538 (29 December 2008); doi: 10.1117/12.815612
Show Author Affiliations
Baoqing Hu, Guangxi Teachers Education Univ. (China)
Lian Duan, Guangxi Teachers Education Univ. (China)
Wenbin Yang, Guangxi Teachers Education Univ. (China)

Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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