A RBF Neural Network Approach for Fitting Creep Curve of Sandstone
In order to quest an effective approach for predicate the rheologic deformation of sandstone based on some experimental data, an improved approaching model of RBF neural network was set up. The results show, the training time of improved RBF neural network is only about 10 percent of that of the BP neural network; the improved RBF neural network has a high predicating accuracy, the average relative predication error is only 7.9%. It has a reference value for the similar rock mechanics problem.
Zhihua Xu, Gang Shen and Sally Lin
Y. L. Tan and Z. Zhang, "A RBF Neural Network Approach for Fitting Creep Curve of Sandstone", Advanced Materials Research, Vols. 171-172, pp. 274-277, 2011