Work

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

Year: 2015

Type: article

Source: Journal of Hydraulic Engineering

DOI: 10.1061/(asce)hy.1943-7900.0001062

Authors: Roohollah Noori, Zhiqiang Deng, Amin Kiaghadi, Fatemeh Torabi Kachoosangi

Institutions: University of Tehran, Louisiana State University, University of Houston

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W1545106967

FWCI: 10.51

Cites: 54

Cited by: 127

Related to: 10