Work

Emulation Performance Evaluation of Urban Runoff Model by Neural Network and Deep Learning

Year: 2019

Type: article

Source: Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering)

DOI: 10.2208/jscejhe.75.2_i_229

Authors: Shintaro FUJIZUKA, Akira KAWAMURA, Hideo AMAGUCHI, Tadakatsu TAKASAKI

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Clean water and sanitation

Open Access status: diamond

OpenAlex ID: W3103771843

FWCI: 0.208

Cites: 6

Cited by: 3

Related to: 10