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Study on application of support vector machine in slope realibility analtsis

YANG Dong,JIANG Li(Key Laboratory of Water Conservancy and Water Resources in Anhui Province,Bengbu 233000,Anhui Huaiwei Science Institute of Water Conservancy in Anhui Bengbu 233000,Anhui)  
The optimization of the parameters of SVM is discussed in this article.The support vector machine which has the strong learning ability is applied to evaluate the stability of landslides.In accordance with the theory of mathematical statistics,the data of the sensitivity factors of landslide stability are processed,which is proved to be reasonable.And an improved method of calculating reliability index is proposed here.We choose two different learning computing models,one including 49 samples,the other 121 samples.Calculation examples show that the calculation of these two models are very close to the results of the Monte-Carlo model,which reflects the advantages of support vector machine when the number of samples is insufficient,and that it is feasible to be applied to evaluate the reliability of the landslide safety.
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