By introducing the support vector machine to evaluate mechanical parameters of rock mass, the regression algorithm of the support vector machine was presented. Then the rock mass strength index was regressed and forecasted by this method in this paper. When considering of the regressing rock mass strength index which having many influencing factors and small samples capacity, some examples were used and testified that the support vector machine could ensure reasonable generalizing and forecasting capacity.
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