NDLI: Monthly Runoff Prediction Using Wavelet Transform and Fast Resource Optimization Network (Fron) Algorithm

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Monthly Runoff Prediction Using Wavelet Transform and Fast Resource Optimization Network (Fron) Algorithm

Content Provider	Scilit
Author	Lu, Jiahai Li, Aiyun
Copyright Year	2019
Description	Journal: Journal of Physics: Conference Series In this study, Discrete Wavelet Transform (DWT) and a Fast Resource Optimization Network (FRON) Algorithm were integrated to forecast monthly runoff and improve the accuracy of forecasting models. The original monthly runoff sequence is reconstructed by DWT processing into two components of deterministic and stochastic components, then these two components were inputted into two different FRON model respectively, and finally the prediction results of the two models were summed up as the final forecasts of monthly runoff. The WFRON1 model is compared with the WFRON2 model and the FRON model without discrete wavelet transform. The mean absolute error (MAE), the deterministic coefficient (DC) and the correlation coefficient (R) are used as the model evaluation index. The model is applied to the prediction of monthly runoff at the Pantuo hydrological station in Shangyuan River. The results show that: The evaluation index of WFRON2 model is better than WFRON1, and both models predict the effect better than FRON model.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1302/4/042005/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1302/4/042005
Journal	Journal of Physics: Conference Series
Issue Number	4
Volume Number	1302
Language	English
Publisher	IOP Publishing
Publisher Date	2019-08-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Water Science and Technology Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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