Abstract: We report a study of river flow modeling and forecast by using short-term and long-term training of a wavelet based neural network. We combine wavelet analysis and artificial neural networks to perform river flow forecasting of the Tittabawassee River. Our results are superior to some existing methods.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on
International Journal of Applied Mathematics, Computational Science and Systems Engineering, E-ISSN: 2766-9823, Volume 3, 2021, Art. #12
Jackson A. Criswell, En-Bing Lin, "River Flow Forecasting Using An Inverse Wavelet Transform Neural Network Approach," International Journal of Applied Mathematics, Computational Science and Systems Engineering, vol. 3, pp. 67-70, 2021, DOI:
Jackson A. Criswell, En-Bing Lin. River Flow Forecasting Using An Inverse Wavelet Transform Neural Network Approach.
International Journal of Applied Mathematics, Computational Science and Systems Engineering. 2021;3:67-70.