A WAVELET TRANSFORMATION-GENETIC ALGORITHM-ARTIFICIAL NEURAL NETWORK COMBINED MODEL FOR PRECIPITATION FORECASTING

Cenk SEZEN; Turgay PARTAL

Makale detayları

A WAVELET TRANSFORMATION-GENETIC ALGORITHM-ARTIFICIAL NEURAL NETWORK COMBINED MODEL FOR PRECIPITATION FORECASTING

Yazarlar:

Cenk SEZEN | Turgay PARTAL

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Eurasia Proceedings of Science Technology Engineering and Mathematics 2017 Issue 1, pp.372-378

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000661454

Özet:

 


Black box models are one of the most common hydrological
models in order to make predictions of hydrological variables such as
precipitation and stream flow. In this study, performance of a combined model
which consists of wavelet transformation, genetic algorithm and artificial
neural network  (WGANN) were tested for
prediction of monthly precipitation by using North Atlantic Oscillation (NAO)
index, Southern Oscillation (SO) index and precipitation data as input in the
model. The case study was carried out for Antalya which is located in Mediterranean
region of Turkey. As a result, it was attained that WGANN model performed more
successful than usual artificial neural network (ANN), multiple linear
regression (MLR) and genetic algorithm-artificial neural network (GANN) models.

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Makale detayları

A WAVELET TRANSFORMATION-GENETIC ALGORITHM-ARTIFICIAL NEURAL NETWORK COMBINED MODEL FOR PRECIPITATION FORECASTING

Yazarlar: Cenk SEZEN | Turgay PARTAL

Ana Başlıklar: Uygulamalı fizik

Dergi: The Eurasia Proceedings of Science Technology Engineering and Mathematics 2017 Issue 1, pp.372-378

Belge Tipi: Makale

Yayın Tarihi: 11/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000661454

Sayı

Yazarlar:

Cenk SEZEN | Turgay PARTAL

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Eurasia Proceedings of Science Technology Engineering and Mathematics 2017 Issue 1, pp.372-378

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000661454