Hybrid wavelet transform – MLR and ANN models for river flow prediction: Case study of Brahmaputra river (Pancharatna station)

Hybrid wavelet transform – MLR and ANN models for river flow prediction: Case study of Brahmaputra river (Pancharatna station)

In this research, discrete wavelet transform (DWT) is combined with MLR and ANN to develop WMLR and WANN hybrid models, respectively, for the Brahmaputra river (Pancharatna station) flow forecasting. Daily flow data for the period of 10 year were decomposed (up to fifth level) into detailed and app...

Full description

Bibliographic Details
Main Authors: Sachin Dadu Khandekar, Dinesh Shrikrishna Aswar, Pandurang Digamber Sabale, Varsha Sachin Khandekar, Mohankumar Namdeorao Bajad, Shivakumar Khaple
Format: Article
Language:English
Published: Warsaw University of Life Sciences 2024-02-01
Series:Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
Subjects:
wavelet transform
artificial neural network
multiple linear regression
streamflow
Daubechies wavelet
time series
Online Access:https://srees.sggw.edu.pl/article/view/5258

Internet

https://srees.sggw.edu.pl/article/view/5258

Similar Items