Prediction of Flow Resistance in an Open Channel over Movable Beds Using Artificial Neural Network-Reference-Cited by-同舟云学术

Prediction of Flow Resistance in an Open Channel over Movable Beds Using Artificial Neural Network

Published:2021-05 Issue:5 Volume:26 Page:04021015
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kumar Satish¹,Khuntia Jnana Ranjan²^ORCID,Khatua Kishanjit Kumar³

Affiliation:

1. Ph.D. Scholar, Dept.of Civil Engineering, National Institute of Technology Rourkela, Rourkela 769008, India (corresponding author).

2. Assistant Professor, Dept. of Civil Engineering, St. Martin’s Engineering College, Secunderabad, Telangana 500100, India; formerly, Ph.D. Scholar, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela 769008, India. ORCID: .

3. Professor, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela 769008, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002085

Reference51 articles.

1. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

2. Artificial Neural Networks in Hydrology. II: Hydrologic Applications

3. Bed-Load Effects on Hydrodynamics of Rough-Bed Open-Channel Flows

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