Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand-Reference-Cited by-同舟云学术

Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand

Published:2023-01 Issue:1 Volume:149 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Zubaidi Salah L.¹,Al-Bdairi Nabeel Saleem Saad²,Ortega-Martorell Sandra³^ORCID,Ridha Hussein Mohammed⁴^ORCID,Al-Ansari Nadhir⁵,Al-Bugharbee Hussein⁶^ORCID,Hashim Khalid⁷,Gharghan Sadik Kamel⁸^ORCID

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Wasit Univ., Wasit 52001, Iraq; Assistant Professor, College of Engineering, Univ. of Warith Al-Anbiyaa, Karbala 56001, Iraq.

2. Assistant Professor, Dept. of Civil Engineering, Wasit Univ., Wasit 52001, Iraq.

3. Senior Lecturer, Dept. of Applied Mathematics, Liverpool John Moores Univ., Liverpool L3 3AF, UK. ORCID: .

4. Ph.D. Student, Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia. ORCID: .

5. Professor, Dept. of Civil, Environmental and Natural Resources Engineering, Lulea Univ. of Technology, Lulea T3334, Sweden (corresponding author).

6. Assistant Professor, Dept. of Mechanical Engineering, Wasit Univ., Wasit 52001, Iraq. ORCID: .

7. Assistant Professor, Dept. of Environment Engineering, Babylon Univ., Babylon 51001, Iraq.

8. Professor, Dept. of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical Univ., Baghdad 10022, Iraq. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001602

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