Crossmark

Modeling and Forecasting of Water Demand in the City of Istanbul Using Artificial Neural Networks Optimized with Rao Algorithms

Published Online: 2024-01-27

Published Print: 2024-10

Authors

Uzlu, Ergun https://orcid.org/0000-0002-2394-179X
Funding

Funding for this research was provided by:

Karadeniz Technical University
License Information

Text and Data Mining valid from 2024-01-27

Version of Record valid from 2024-01-27
More Information

Article History

Received: 4 October 2023

Accepted: 26 December 2023

First Online: 27 January 2024

Declarations

:

: The author has no relevant financial or non-financial interests to disclose.

: There are no relevant waivers or approvals.

: Not applicable (there is only one Author).

: The author allows publication if the research is accepted.

Document is current