OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR

Ahmet Tandiroglu

doi:10.17339/ejovoc.38363

OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR

Öz

This present research uses artifical neural networks (ANNs) to determine Nusselt numbers and friction factors for nine different baffle plate inserted tubes. MATLAB toolbox was used to search better network configuration prediction by using commonly used multilayer feed-forward neural networks (MLFNN) with back propagation (BP) learning algorithm with five different training functions with adaptation learning function of mean square error and TANSIG transfer function. In this research, eighteen data samples were used in a series of runs for each nine samples of baffle-inserted tube. Up to 70% of the whole experimental data was used to train the models, 15 % was used to test the outputs and the remaining data points which were not used for training were used to evaluate the validity of the ANNs. The results show that the TRAINBR training function was the best model for predicting the target experimental outputs.

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

-

Yazarlar

Ahmet Tandiroglu

Yayımlanma Tarihi

28 Aralık 2015

Gönderilme Tarihi

28 Aralık 2015

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2015 Cilt: 5 Sayı: 4

DOI

https://doi.org/10.17339/ejovoc.38363

IZ

https://izlik.org/JA65DC26SA

Kaynak Göster

RIS / Bibtex

APA

Tandiroglu, A. (2015). OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR. Ejovoc (Electronic Journal of Vocational Colleges), 5(4), 104-113. https://doi.org/10.17339/ejovoc.38363

AMA

1.Tandiroglu A. OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR. Ejovoc. 2015;5(4):104-113. doi:10.17339/ejovoc.38363

Chicago

Tandiroglu, Ahmet. 2015. “OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR”. Ejovoc (Electronic Journal of Vocational Colleges) 5 (4): 104-13. https://doi.org/10.17339/ejovoc.38363.

EndNote

Tandiroglu A (01 Aralık 2015) OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR. Ejovoc (Electronic Journal of Vocational Colleges) 5 4 104–113.

IEEE

[1]A. Tandiroglu, “OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR”, Ejovoc, c. 5, sy 4, ss. 104–113, Ara. 2015, doi: 10.17339/ejovoc.38363.

ISNAD

Tandiroglu, Ahmet. “OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR”. Ejovoc (Electronic Journal of Vocational Colleges) 5/4 (01 Aralık 2015): 104-113. https://doi.org/10.17339/ejovoc.38363.

JAMA

1.Tandiroglu A. OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR. Ejovoc. 2015;5:104–113.

MLA

Tandiroglu, Ahmet. “OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR”. Ejovoc (Electronic Journal of Vocational Colleges), c. 5, sy 4, Aralık 2015, ss. 104-13, doi:10.17339/ejovoc.38363.

Vancouver

1.Ahmet Tandiroglu. OPTIMAL NETWORK ARCHITECTURE FOR NUSSELT NUMBER AND FRICTION FACTOR. Ejovoc. 01 Aralık 2015;5(4):104-13. doi:10.17339/ejovoc.38363