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首页> 外文会议>International conference on earth observation data processing and analysis (ICEODPA) >Research on early warning analysis model for Karst rocky desertification based on neural network: Taking Du'an County of Guangxi as example
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Research on early warning analysis model for Karst rocky desertification based on neural network: Taking Du'an County of Guangxi as example

机译：基于神经网络的喀斯特石漠化预警分析模型研究-以广西都安县为例

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摘要

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.
机译：本文介绍了神经网络的基本原理，分析了神经网络中的BP算法应用，并引入了BP算法机械。基于BP算法，以广西杜安国家喀斯特岩石荒漠化为例，提出了神经网络喀斯特岩石荒漠化预警模型结构，可实现岩石荒漠化警告分析，计算岩石荒漠化致命指标，并表达岩石荒漠化在专题地图中的预警水平。结果验证了BP算法的可信度和预警分析模型的可能性。

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