Predicting Arch Dam Displacement Using Twin Support Vector Machine Optimized by Artificial Immune Algorithm

CAO Yan-ming; JING De-quan; LIU Chun-gao

doi:10.11988/ckyyb.20180639

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Journal of Changjiang River Scientific Research Institute ›› 2019, Vol. 36 ›› Issue (12) : 54-58. DOI: 10.11988/ckyyb.20180639

ENGINEERING SAFETY AND DISASTER PREVENTION

Predicting Arch Dam Displacement Using Twin Support Vector Machine Optimized by Artificial Immune Algorithm

CAO Yan-ming¹, JING De-quan¹, LIU Chun-gao²

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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 calculation. 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.

Key words

prediction of arch dam displacement / twin support vector machine / artificial immune algorithm / calculation efficiency / engineering precision

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CAO Yan-ming, JING De-quan, LIU Chun-gao. Predicting Arch Dam Displacement Using Twin Support Vector Machine Optimized by Artificial Immune Algorithm[J]. Journal of Changjiang River Scientific Research Institute. 2019, 36(12): 54-58 https://doi.org/10.11988/ckyyb.20180639

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