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Prediction of urban water demand is significant to urban water supply and treatment. To forecast urban water demand exactly, support vector machine optimized by genetic algorithm (GA-SVM) is proposed. Genetic algorithm(GA) is used to determine training parameters of support vector machine in GA-SVM. The experimental results indicate that the proposed GA-SVM model not only requires small training data,...
A new prediction approach for the railway passenger volume is put forward by means of support vector machine optimized by genetic algorithm (GA-SVM). In GA-SVM model, GA is used to determine training parameters of support vector machine. GA has strong global search capability, which can get optimal solution in short time. Railway passenger volume of China from 1985-2002 is used to illustrate the performance...
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