A hybrid neural network-based technique to improve the flow forecasting of physical and data-driven models: Methodology and case studies in Andean watersheds

Article

Abstract: Study region: The present study was conducted in the Machángara Alto and Chulco rivers, which belong

Palabras claves:

Andean watersheds, ECUADOR, Flow forecasting, Hydrological models, Neural networks

Autores:

Avilés-Añazco A., Farfán J.F., Jacinto Ulloa, Karina Palacios

Fuentes:

scopus