Geologic hazard risk assessment based on BP-neural network——A case study of Tianshui area
Jun Zhang · The Chinese Journal of Geological Hazard and Control · 2008
The paper analyzed the contents of geologic hazard risk valuation,including risk valuation of risk origin and lost degree valuation of the object threatened.Combining with the characteristic of the geologic hazard,the geologic hazard risk valuation index system,the building up,training,simulation of the geologic hazard risk valuation based on BP-neural network are discussed.Taking Tianshui area as a example,using newff order in Matlab soft,the geologic hazard risk valuation BP-neural network model is built up.The network included 3 layers,input layer has 7 nodes,output has 3 nodes,conceal layer has 6 nodes.Selecting 8 valuation units,taking qualitative analysis result as anticipative output,the nerve network is trained by train order and the other units are simulated by sim order,so the geologic hazard risk valuation zoning is gotten.The theoretical analysis and example validate result shows that BP-neural network is an ideal geologic hazard risk evaluation;method due to its advantage of automatic adjustment connection weigh.