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Hydrology time series prediction is significant. It is not only helpful to set the planning in daily configuration works of water resources, but also provides guidance for leaders to make decision, especially in some special case such as flood and seriously lack water. In order to solve the imbalance complexity of prediction model and complexity of samples and raise forecasting accuracy, combined...
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free...
Since the implementation of the new mechanism of Renminbi exchange rate from 2005, the CNY/USD exchange rate fluctuation range has become more greater than before. Therefore, it is very important to control CNY/USD exchange rate risk via prediction. This paper is motivated by evidence that different prediction models can complement each other in approximating data sets, and presents a hybrid prediction...
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