Abstract：An integrated intelligent method for bolt-shotcrete support design in underground rock excavation is presented. Firstly, the expert system and artificial neural network as well as case-based design are applied to predict the parameters for support individually. Then the divisional weight-adapting multi-expert decision algorithm is used to integrate those results given by above artificial intelligent methods andform the last design scheme. The method proposed here can comprehensively consider different artificial intelligent design methods and provide the support parameters which are closest to practice. The method can be used as a practical tool for the support design of underground rock excavation.
