113 Application of Information-ANN Model for Landslide Hazard Assessment in Slope Field

Landslide is one of the most serious geological hazards. Landslide assessment, especially in slope field, is very important and significant for appropriate human geological environment protection and rational exploitation. By means of the theory of Information and Artificial Neural Network, the basic flow chart of Information-ANN Model for landslide hazard spatial assessment is put forward. Some key technical problems are discussed, such as single factor information calculating, neural study sample choice, and network model building and so on. Applying Information-ANN Model and GIS technology, the landslide hazard susceptibility assessment of Anlesi paleo-landslide in Wanzou city of three-gorge reservoir is carried out. The landslide hazard prediction map is achieved. By comparing with the site investigation and some other models, Information-ANN Model is proved to be an effective mathematics model for landslide spatial assessment. At last, the existing question is put forward in this paper.