Journal of Food, Agriculture and Environment

A dam safety evaluation method based on D-S theory and BP neural network 

Author(s):

Bo Chen ^{1, 2}, Bo Xu ²

Recieved Date: 2013-07-18, Accepted Date: 2013-09-03

Abstract:

The factors influencing dam safety are complex and their impact on dam safety is fuzzy and uncertain. With the introduction of the Dempster-Shafer theory, BP neural network and Jousselme distance function into dam safety monitoring, a new method for dam safety evaluation is explored. Firstly, the basic probability assignment of the factors influencing dam safety is determined by BP neural network; then the weight of each factor’s evidence is obtained based on Jousselme distance function; at last, the total probability assignment is got by fusing the basic probability assignments based on Dempster-Shafer theory. Accordingly the dam safety level can be determined. Application example shows that the above safety assessment method is feasible, and could supply a reasonable and accurate judgment of the dam safety level. 

Keywords:

Dam safety evaluation, Dempster-Shafer theory, BP neural network, Jousselme distance function

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Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 3&4
Category: Environment
Pages: 1926-1929

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