RESEARCH ON THE METHOD OF NEURAL NETWORK MODELING BASED ON ROUGH SETS THEORY
Ming Li · 2002
This paper proposes a new neural network model based on rough sets. The input to the model is mapped into the output subspaces by using rules acquired from rough sets, then the output of the system is approximated by neural network in the subspaces.The method is applied to analysis of the stability of the rock slope. Simulation results show this method is superior to the traditional neural network model.