Version 1
: Received: 10 March 2018 / Approved: 12 March 2018 / Online: 12 March 2018 (07:00:46 CET)
How to cite:
Saplioglu, K.; Kucukerdem, T.S. Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints2018, 2018030084. https://doi.org/10.20944/preprints201803.0084.v1
Saplioglu, K.; Kucukerdem, T.S. Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints 2018, 2018030084. https://doi.org/10.20944/preprints201803.0084.v1
Saplioglu, K.; Kucukerdem, T.S. Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints2018, 2018030084. https://doi.org/10.20944/preprints201803.0084.v1
APA Style
Saplioglu, K., & Kucukerdem, T.S. (2018). Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints. https://doi.org/10.20944/preprints201803.0084.v1
Chicago/Turabian Style
Saplioglu, K. and Tulay Sugra Kucukerdem. 2018 "Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River" Preprints. https://doi.org/10.20944/preprints201803.0084.v1
Abstract
Good data analysis is required for the optimal design of water resources projects. However, data are not regularly collected due to material or technical reasons, which results in incomplete-data problems. Available data and data length are of great importance to solve those problems. Various studies have been conducted on missing data treatment. This study used data from the flow observation stations on Yeşilırmak River in Turkey. In the first part of the study, models were generated and compared in order to complete missing data using ANFIS, multiple regression and Normal Ratio Method. In the second part of the study, the minimum number of data required for ANFIS models was determined using the optimum ANFIS model. Of all methods compared in this study, ANFIS models yielded the most accurate results. A 10-year training set was also found to be sufficient as a data set.
Keywords
anfis; missing data; multiple regression; normal ratio method; Yeşilırmak
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
