A dam safety evaluation method based on D-S theory and BP neural network
Journal of Food, Agriculture and Environment(2013)
摘要
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.
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关键词
bp neural network,dam safety evaluation,dempster-shafer theory,jousselme distance function
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