Paper Title:
A RBF Neural Network Approach for Fitting Creep Curve of Sandstone
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 171-172)
Edited by
Zhihua Xu, Gang Shen and Sally Lin
Pages
274-277
DOI
10.4028/www.scientific.net/AMR.171-172.274
Citation
Y. L. Tan, Z. Zhang, "A RBF Neural Network Approach for Fitting Creep Curve of Sandstone", Advanced Materials Research, Vols. 171-172, pp. 274-277, 2011
Online since
December 2010
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Price
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