THE APPLICATION OF THE GENETIC ADAPTIVE NEURAL NETWORK IN LANDSLIDE DISASTER ASSESSMENT

被引：13

作者：

Chen, Jing-Wen ^{[1
]}

Chue, Yung-Sheng ^{[1
]}

Chen, Yie-Ruey ^{[2
]}

机构：

[1] Natl Cheng Kung Univ, Dept Civil Engn, Tainan 70101, Taiwan

[2] Chang Jung Christian Univ, Dept Land Management & Dev, Tainan, Taiwan

来源：

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2013年 / 21卷 / 04期

关键词：

landslide; Genetic Algorithms; Artificial Neural Network; Geographic Information System; ALGORITHMS; AGREEMENT; MODELS;

D O I：

10.6119/JMST-012-0709-2

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study applied the Genetic Adaptive Neural Network (GANN) structure to satellite image classification and the assessment of landslide disaster. First, the study conducted quantitative analysis of the various factors of slope development and natural environmental hazards in some parts of the catchment areas of the Laonong River in Southern Taiwan. Meanwhile, using the weighting ratios of various disaster causing factors inferred from the best structure of GANN, this study explored the degree of slope land disturbance. Then, this study incorporated the relationship between rainfall and landslides to draw a landslide potential map using the discriminant analysis approach combined with the GIS platform. The findings of this research will be a valuable reference in the follow-up drafting of slope development and treatment policies, and the academic and engineering assessment of landslide disasters caused by slope development.

引用

页码：442 / 452

页数：11

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