A fast approaching model for rock constitutive equation by radial basis function neural network

A fast approaching model for rock constitutive equation using radial basis function neural network has been built. It is shown that the model can approach the stress-strain curve accurately, rapidly and stably by laboratory data. The model is valuable for developing the numerical method in rock mechanics.