Offshore Wind Power Foundation Corrosion Rate Prediction Model Based on Improved SHO Algorithm
Fan Zhang,
Feng Zhang,
Hongbo Zou
et al.
Abstract:To improve the accuracy of offshore wind power foundation corrosion rate prediction and grasp the operation status of equipment in time, an offshore wind power foundation corrosion rate prediction model based on an improved spotted hyena optimization (SHO) algorithm is proposed in this paper. Firstly, in order to reduce the modeling workload of the offshore wind power foundation corrosion prediction model, kernel principal component analysis (KPCA) is used to extract the principal elements of the offshore wind… Show more
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