Analysis of Coordinated System Prediction System Based on Least Square Support Vector Machine
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Jianhua Zhang, Xiang Ji, Fuhao Ma
The accurate prediction of the dynamic performance of the coordinated system plays an important role in ensuring the safe, efficient and stable operation of the unit. Support vector machine (SVM) is a practical algorithm based on statistical learning theory, which has been widely used in pattern recognition, function fitting, time series prediction and so on. Least square support vector machine (LS-SVM) is a standard SVM rewriting method for solving the KKT problem of linear system. Based on LS-SVM, this paper realizes the prediction and analysis of coordinated system, and compares it with simulation experiments, which shows that this method has high accuracy.
Least square support vector machine; Support vector machine; Coordinator system