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Prediction Model of River Water Level Based on LS-SVM

机译:基于LS-SVM的河流水位预测模型

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摘要

In order to predict the changes of water level of natural river, this paper applied the method of LS-SVM, combining with sichuan zigong hydrologic measured water level data and flow data builded a double input single output (water level and flow-water level) river water level prediction model. Through the analysis of the prediction results, can draw the conclusion: The accuracy of the prediction model, which was established by LS-SVM is very high, can meet the needs of the river water level prediction.
机译:为了预测天然河流水位的变化,本文采用LS-SVM方法,结合四川自贡水文测水位数据和流量数据,建立了双输入单输出(水位和流水位)。河流水位预测模型。通过对预测结果的分析,可以得出结论:LS-SVM建立的预测模型的准确性很高,可以满足河流水位预测的需要。

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