Application of GIS-Based Back Propagation Artificial Neural Networks and Logistic Regression for shallow Landslide Susceptibility Mapping in South China-Take Meijiang River Basin as an Example
نویسندگان
چکیده
RESEARCH ARTICLE Application of GIS-Based Back Propagation Artificial Neural Networks and Logistic Regression for shallow Landslide Susceptibility Mapping in South China-Take Meijiang River Basin as an Example Qing-hua Gong, Jun-xiang Zhang and Jun Wang Guangzhou Institute of Geography, Guangzhou 510070, China Guangdong Open Laboratory of Geo-spatial Information Technology and Application, Guangzhou 510070, China School of Tourism, Huangshan University, Huangshan 245021, China
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پهنهبندی خطر زمینلغزش با استفاده از روش آماری رگرسیون لجستیک در حوضه آبریز لواسانات
18 - Ayalew. L. Yamagishi. H. Marui. H & Kanno. T. (2005). "Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications.", Engineering Geology 81. (2005). 432– 445. 19 - Ayalew,l. and Yamagishi, H. (2005):The application of GIS –based logistic regression for landslide susceptibility mapping in the Kakuda-Yaahiko M...
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