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Support vector machine (SVM) is a new method based on statistical learning theory. It has been successfully used to solve nonlinear regression and time series problems. However, SVM has rarely been applied to software reliability prediction. In this study, an SVM-based model for software reliability forecasting is proposed. In addition, the parameters of SVM are determined by Genetic Algorithm (GA)...
Predication of water consumption used in agriculture is significant to set the planning of configuration optimization of water resources. In order to forecast water consumption used in agriculture exactly, support vector machine and genetic algorithm is proposed to forecast water consumption used in agriculture, where genetic algorithm (GA) is used to select the parameters of support vector machine...
Accurate electricity price forecasting can provide crucial information for electricity market participants to make reasonable competing strategies. Support vector machine (SVM) is a novel algorithm based on statistical learning theory, which has greater generalization ability, and is superior to the empirical risk minimization principle as adopted by traditional neural networks. However, its generalization...
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