Mengcheng Sun1,2, Weiya Xu1,2,*, Huanling Wang1,3, Qingxiang Meng1,2, Long Yan1,2, Wei-Chau Xie4
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1057-1074, 2021, DOI:10.32604/cmc.2020.012537
- 30 October 2020
Abstract The narrowing deformation of reservoir valley during the initial operation period threatens the long-term safety of the dam, and an accurate prediction
of valley deformation (VD) remains a challenging part of risk mitigation. In order
to enhance the accuracy of VD prediction, a novel hybrid model combining
Ensemble empirical mode decomposition based interval threshold denoising
(EEMD-ITD), Differential evolutions—Shuffled frog leaping algorithm
(DE-SFLA) and Least squares support vector machine (LSSVM) is proposed.
The non-stationary VD series is firstly decomposed into several stationary subseries by EEMD; then, ITD is applied for redundant information denoising on
special sub-series,… More >
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