River Flow Forecasting Using An Inverse Wavelet Transform Neural Network Approach

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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.

International Journal of Applied Mathematics, Computational Science and Systems Engineering, E-ISSN: 2766-9823, Volume 3, 2021, Art. #12

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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.
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