Work

Weather parameters forecasting with time series using deep hybrid neural networks

Year: 2022

Type: article

Source: Concurrency and Computation Practice and Experience

DOI: 10.1002/cpe.7141

Author: Sercan Yalçın

Institution: Adıyaman University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4282943735

FWCI: 0.595

Cites: 30

Cited by: 11

Related to: 10