A Study on the Application of RBF Neural Network in Slope Stability of Bayan Obo East Mine

Chuang Ye Wang; Fei Zhang; Wan Dong Han

doi:10.4028/www.scientific.net/AMR.1010-1012.1507

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1010-1012A Study on the Application of RBF Neural Network...

A Study on the Application of RBF Neural Network in Slope Stability of Bayan Obo East Mine

Abstract:

RBF neural network is a well-behaved feed forward network and with it the nonlinear evolution of slope stability could be obtained by learning the sample repeatedly, which really possesses a better approximation and globe optimum features. The prediction model of slope stability based on RBF neural network has the advantages of simple structure, fast learning and precise forecasting. Through the calculation of three engineering examples in Bayan Obo east mine, the analysis method of slope stability based on RBF neural network is proved to be functional and effective.

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Periodical:

Advanced Materials Research (Volumes 1010-1012)

Pages:

1507-1510

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.1507

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Online since:

August 2014

Authors:

Chuang Ye Wang*, Fei Zhang, Wan Dong Han

Keywords:

Factor, Forecast, RBF Neural Network, Slope Stability

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