Cu-TiC KOMPOZİTLERİN MEKANİK VE FİZİKSEL ÖZELLİKLERİNİN YAPAY SİNİR AĞLARI (YSA) MODELİ İLE TAHMİNİ

Islak, Serkan; Akkaş, Mehmet; Kaya, Ünal; Güleç, Hacı Güzel

doi:10.12739/nwsa.2017.12.3.2a0119

NWSA

2017

DOI: 10.12739/nwsa.2017.12.3.2a0119

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Cu-TiC KOMPOZİTLERİN MEKANİK VE FİZİKSEL ÖZELLİKLERİNİN YAPAY SİNİR AĞLARI (YSA) MODELİ İLE TAHMİNİ

Serkan Islak¹,

Mehmet Akkaş²,

Ünal Kaya³

et al.

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Cited by 2 publications

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Estimation of Critical Buckling Loads of Hybrid Composites in Different Environments using Artificial Neural Networks

TEKİN,

ÖNDÜRÜCÜ,

KAYIRAN

2023

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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The primary objective of this study is to estimate the buckling behaviors of hybrid composite plate using test data on the effects of different environmental conditions. These estimations were made using an Artificial Neural Network (ANN). The MATLAB software was used to develop the artificial neural network. The data from the buckling tests were used to train the ANN model that used a multilayer, feedforward and backprop algorithm. The input parameters for the ANN modeling were determined as waiting times of the samples, ambient temperatures, ambient conditions, and material arrangement angles. This modeling was used to estimate critical buckling loads. The values obtained after the training and testing of ANN were examined by performing statistical analyses commonly used in ANN models, revealing that the designed model was applied successfully and the results were very close to the real test results.

show abstract

Estimation of Critical Buckling Loads of Hybrid Composites in Different Environments using Artificial Neural Networks

TEKİN,

ÖNDÜRÜCÜ,

KAYIRAN

2023

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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show abstract

Tungsten Borür Takviyeli Bakır Matrisli Kompozit Malzemelerin Geliştirilmesi

Hitit¹,

Kara²,

Akdağ³

et al. 2021

Afyon Kocatepe University Journal of Sciences and Engineering

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Cu-TiC KOMPOZİTLERİN MEKANİK VE FİZİKSEL ÖZELLİKLERİNİN YAPAY SİNİR AĞLARI (YSA) MODELİ İLE TAHMİNİ

Cited by 2 publications

References 3 publications

Estimation of Critical Buckling Loads of Hybrid Composites in Different Environments using Artificial Neural Networks

Estimation of Critical Buckling Loads of Hybrid Composites in Different Environments using Artificial Neural Networks

Tungsten Borür Takviyeli Bakır Matrisli Kompozit Malzemelerin Geliştirilmesi

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