Work

Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

Year: 2012

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2012.02.009

Authors: Riccardo Taormina, Kwok-wing Chau, Rajandrea Sethi

Institutions: Hong Kong Polytechnic University, Politecnico di Torino

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: green

Funder: Centre National de la Recherche Scientifique

OpenAlex ID: W2116422023

FWCI: 39.08

Cites: 39

Cited by: 402

Related to: 9