A Recurrent Neural Network Model for Weather Forecasting

Yunus Emre Cebeci

doi:10.1109/UBMK.2019.8907196

A Recurrent Neural Network Model for Weather Forecasting

Yunus Emre Cebeci^*

^*Bu çalışma için yazışmadan sorumlu yazar

Lisansüstü Eğitim Enstitüsü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

8 Atıf (Scopus)

Özet

This paper compares data mining approaches for weather forecasting from one-dimensional and multidimensional meteorological weather data. Linear and nonlinear methods are applied and more successful results are obtained from nonlinear methods. The best result is obtained with LSTM(Long short-term memory). RFE(Recursive Feature Elimination) is used for subset feature selection and it increases one-dimensional MLP(Multi Layer Perceptron) model accuracy. In addition, Grid Search is used for hyperparameter tuning and early stopping is used to avoid overfitting and underfitting.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	591-595
Sayfa sayısı	5
ISBN (Elektronik)	9781728139647
DOI'lar	https://doi.org/10.1109/UBMK.2019.8907196
Yayın durumu	Yayınlandı - Eyl 2019
Etkinlik	4th International Conference on Computer Science and Engineering, UBMK 2019 - Samsun, Türkiye Süre: 11 Eyl 2019 → 15 Eyl 2019

Yayın serisi

Adı	UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	4th International Conference on Computer Science and Engineering, UBMK 2019
Ülke/Bölge	Türkiye
Şehir	Samsun
Periyot	11/09/19 → 15/09/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Belgeye Erişim

10.1109/UBMK.2019.8907196

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Cebeci, Y. E. (2019). A Recurrent Neural Network Model for Weather Forecasting. In UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering (pp. 591-595). Makale 8907196 (UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2019.8907196

@inproceedings{d3abdb12b961426d96734fc4cbd4d64d,

title = "A Recurrent Neural Network Model for Weather Forecasting",

abstract = "This paper compares data mining approaches for weather forecasting from one-dimensional and multidimensional meteorological weather data. Linear and nonlinear methods are applied and more successful results are obtained from nonlinear methods. The best result is obtained with LSTM(Long short-term memory). RFE(Recursive Feature Elimination) is used for subset feature selection and it increases one-dimensional MLP(Multi Layer Perceptron) model accuracy. In addition, Grid Search is used for hyperparameter tuning and early stopping is used to avoid overfitting and underfitting.",

keywords = "Adaptive Learning, Data Mining, Deep Learning, LSTM, RFE",

author = "Cebeci, \{Yunus Emre\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th International Conference on Computer Science and Engineering, UBMK 2019 ; Conference date: 11-09-2019 Through 15-09-2019",

year = "2019",

month = sep,

doi = "10.1109/UBMK.2019.8907196",

language = "English",

series = "UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "591--595",

booktitle = "UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering",

address = "United States",

}

Cebeci, YE 2019, A Recurrent Neural Network Model for Weather Forecasting. in UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering., 8907196, UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 591-595, 4th International Conference on Computer Science and Engineering, UBMK 2019, Samsun, Türkiye, 11/09/19. https://doi.org/10.1109/UBMK.2019.8907196

A Recurrent Neural Network Model for Weather Forecasting. / Cebeci, Yunus Emre.
UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2019. p. 591-595 8907196 (UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Recurrent Neural Network Model for Weather Forecasting

AU - Cebeci, Yunus Emre

PY - 2019/9

Y1 - 2019/9

N2 - This paper compares data mining approaches for weather forecasting from one-dimensional and multidimensional meteorological weather data. Linear and nonlinear methods are applied and more successful results are obtained from nonlinear methods. The best result is obtained with LSTM(Long short-term memory). RFE(Recursive Feature Elimination) is used for subset feature selection and it increases one-dimensional MLP(Multi Layer Perceptron) model accuracy. In addition, Grid Search is used for hyperparameter tuning and early stopping is used to avoid overfitting and underfitting.

AB - This paper compares data mining approaches for weather forecasting from one-dimensional and multidimensional meteorological weather data. Linear and nonlinear methods are applied and more successful results are obtained from nonlinear methods. The best result is obtained with LSTM(Long short-term memory). RFE(Recursive Feature Elimination) is used for subset feature selection and it increases one-dimensional MLP(Multi Layer Perceptron) model accuracy. In addition, Grid Search is used for hyperparameter tuning and early stopping is used to avoid overfitting and underfitting.

KW - Adaptive Learning

KW - Data Mining

KW - Deep Learning

KW - LSTM

KW - RFE

UR - https://www.scopus.com/pages/publications/85076213656

U2 - 10.1109/UBMK.2019.8907196

DO - 10.1109/UBMK.2019.8907196

M3 - Conference contribution

AN - SCOPUS:85076213656

T3 - UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

SP - 591

EP - 595

BT - UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Computer Science and Engineering, UBMK 2019

Y2 - 11 September 2019 through 15 September 2019

ER -

A Recurrent Neural Network Model for Weather Forecasting

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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Alıntı Yap