长江科学院院报2019，Vol.36Issue(12)：54-58,70,6.DOI:10.11988/ckyyb.20180639
人工免疫算法优化双支持向量机在拱坝变形预测中的应用
Predicting Arch Dam Displacement Using Twin Support Vector Machine Optimized by Artificial Immune Algorithm
摘要
Abstract
In this paper the twin support vector machine optimized by immune algorithm is proposed to analyze the displacement of arch dam and predict the deformation of the dam. Compared with support vector machine, twin support vector machine greatly improves the calculation speed and the calculation efficiency in batch repetitive cal-culation. Considering the effect of parameters on the fitting results, the artificial immune algorithm is incorporated in the twin support vector machine to optimize the parameters. Artificial immune algorithm retains a certain number of better solutions based on the genetic algorithm and improves the search efficiency of the algorithm. Engineering example analysis shows that parameters have great influence on the results of the twin support vector machine. After searching the optimal parameters by using artificial immune algorithm, the twin support vector machine can better fit the deformation data of the dam. The prediction result meets requirements, and the maximum error is merely 1 mm.关键词
拱坝变形预测/双支持向量机/人工免疫算法/计算效率/工程精度Key words
prediction of arch dam displacement/twin support vector machine/artificial immune algorithm/calcu-lation efficiency/engineering precision分类
建筑与水利引用本文复制引用
曹延明,井德泉,刘春高..人工免疫算法优化双支持向量机在拱坝变形预测中的应用[J].长江科学院院报,2019,36(12):54-58,70,6.基金项目
国家自然科学基金项目(51579085,51779086) （51579085,51779086）
