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- W2805898611 abstract "In this study, the basic principle of the least squares support vector machine (LS- SVM) method was introduced systematically. The method was applied in a seawall engineering project to establish a prediction model of long-term seawall settlement based on the LS-SVM method, and the model parameters were optimized based on the genetic algorithm. Based on the monitoring data of seawall settlement during the construction of a soft foundation seawall project in Wenzhou, China, a sample was selected to train the model, and the predicted value of long-term settlement calculated by the model was compared with the measured sample value. The results show that, with highly accurate and reliable prediction results, the prediction model of long-term seawall settlement based on the LS-SVM method possesses great application value." @default.
- W2805898611 created "2018-06-13" @default.
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- W2805898611 date "2018-05-01" @default.
- W2805898611 modified "2023-09-27" @default.
- W2805898611 title "Prediction of Long-Term Seawall Settlement Based on Least Squares Support Vector Machine" @default.
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- W2805898611 doi "https://doi.org/10.1088/1755-1315/153/6/062036" @default.
- W2805898611 hasPublicationYear "2018" @default.
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