Verification Study on the Effect of Reservoir Stoplog Measures on Reservoir Discharge Water Temperature Regulation Based on Machine Algorithm Prediction Model
By using R language programming software to first normalize the original data,screen parameters and screen component correlation,five prediction models based on machine learning algorithms have been estab-lished.The results show that through the training and modification of the model,the support vector machine model has the best effect among the 5 kinds of machine learning-based prediction models of reservoir drainage water temperature,and the accuracy of this model prediction value has reached to 0.78.Support vector ma-chine reservoir water temperature prediction model can not only realize the monitoring and control of water temperature,but also to take timely optimization measures and to get immediate validation for the ecological environment of the reservoir,and verify the prediction results.
万方数据
维普
