Rainfall Forecasting with Hybrid and Machine Learning Models Based on Hyperparameter Optimization-Reference-Cited by-同舟云学术

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Rainfall Forecasting with Hybrid and Machine Learning Models Based on Hyperparameter Optimization

Published:2023-11 Issue:11 Volume:28 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Ersoy Mevlut¹^ORCID,Keskin M. Erol²,Gürfidan Remzi³^ORCID

Affiliation:

1. Assistant Professor, Dept. of Computer Engineering, Suleyman Demirel Univ., Isparta 32200, Turkey (corresponding author). ORCID: .

2. Professor, Dept. of Civil Engineering, Suleyman Demirel Univ., Isparta 32200, Turkey.

3. Dept. of Computer Programming, Isparta Univ. of Applied Sciences, Isparta 32400, Turkey. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-5960

Reference62 articles.

1. Prediction of Daily Pan Evaporation using Wavelet Neural Networks

2. AFAD (Disaster and Emergency Management Presidency). 2020. “T.C. İçişleri Bakanlığı Afet ve Acil Durum Yönetimi Başkanlığı.” Accessed February 3 2021. https://www.afad.gov.tr/kurumlar/afad.gov.tr/35429/xfiles/turkiye_de_afetler.pdf.

3. Random search for hyper-parameter optimization;Bergstra J.;J. Mach. Learn. Res.,2012

4. Boser B. E. T. B. Laboratories I. M. Guyon and V. N. Vapnik. 1992. “A training algorithm for optimal margin classifiers.” In Proc. 5th Annual Workshop on Computational Learning Theory 144–152. New York: Association for Computing Machinery.

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