Study on safety evaluation model of small and medium-sized earth-rock dam based on BP - AdaBoost algorithm

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Li, Haoping^1 ; Ouyang, Jun^1 ; Li, Feng^1 ; Xie, Xueyuan^1

School of China Three Gorges University, Yichang, China^1

关键词: AdaBoost algorithm;    BP neural networks;    Dam safety evaluation;    Evaluation index system;    Grey relational analysis;    Network convergence;    Safety evaluations;    Strong classifiers;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/3/032024/pdf
DOI  :  10.1088/1757-899X/490/3/032024

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The security characteristics of the small and medium-sized earth-rock dam was analysed, the dominant factors which were significant and high contribution on dam safety evaluation were selected by Delphi method combined with grey relational analysis, then constituted the evaluation index system of the small and medium-sized earth-rock dam. The dam safety evaluation model was constructed by BP neural network combined AdaBoost algorithm, the strong classifier was composed of several BP neural network weak classifiers, the network error was effectively reduced, and the network convergence speed was improved. The safety evaluation model of the small and medium-sized earth-rock dam based on BP-AdaBoost was feasible and can provide a new way for researching on the quantitative and intelligent safety evaluation.