EC-SVM approach for real-time hydrologic forecasting

@inproceedings{Yu2004ECSVMAF,
  title={EC-SVM approach for real-time hydrologic forecasting},
  author={Xinying Yu and Shie-Yui Liong and Vladan Babovic},
  year={2004}
}
This study demonstrates a combined application of chaos theory and support vector machine (SVM) in the analysis of chaotic time series with a very large sample data record. A large data record is often required and causes computational difficulty. The decomposition method is used in this study to circumvent this difficulty. The various parameters inherent in chaos technique and SVM are optimised, with the assistance of an evolutionary algorithm, to yield the minimal prediction error. The… CONTINUE READING
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