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Colleges employment forecasting based on least squares support vector machine is proposed in the paper. Least squares support vector machine is an improved support vector machine, which can use equality constraints for the error instead of inequality constraints. Colleges employment rate of Xinjiang agricultural university from 1997 to 2006 is used to show the effectiveness of least squares support...
Futures price forecasting based on least squares support vector machine is presented in the paper. In order to improve the prediction performance of least squares support vector machine, the experimental data can be normalized and appropriate parameters are selected by genetic algorithm. Least squares support vector machine is used to create the prediction model for futures price, and BP neural network...
A new method is presented to exactly forecast trend of running state trend for the microprocessor protective device based on LS-SVM to realize condition maintenance. LS-SVM is introduced to forecast state trend of the microprocessor protective device. The real-time current, history overhauling data of microprocessor protection deceive and fault corresponding running state are chosen as input value,...
Short-term electricity load forecasting is a difficult work because the accuracy of forecasting is influenced by many unpredicted factors whose relationships are commonly complex, implicit and nonlinear. By studying the methods proposed by other scholars, a mew method, ICA (independent component analysis) -LSSVM (least squares support vector machine) is proposed by this paper. The first step of this...
This paper deals with the application of a least squares support vector machine (LS-SVM) in short-time load forecasting (STLF). The objective of this paper is to examine the feasibility of SVM in STLF by comparing it with a artificial neural network (ANN). The experiment shows that LS-SVM outperforms the ANN based on the criteria of mean absolute error (MAE), mean absolute percent error (MAPE), mean...
A novel forecasting model of foreign exchange market based on least squares support vector machine (LS-SVM) is proposed in this paper. The experiment on the prediction of four kinds of daily exchange rate recorded is carried out. Grid search method is used to determine the LS-SVM parameters automatically in the forecasting process. The results show the precision of fitting and forecasting are very...
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