Prediction of the Fracture Voltage of TiO2-Doped ZnO-Bi2O3-MnO-CoO Ceramics Produced by the Chemical Precipitation Method with Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Prediction of the Fracture Voltage of TiO2-Doped ZnO-Bi2O3-MnO-CoO Ceramics Produced by the Chemical Precipitation Method with Using Artificial Neural Networks

Published:2019-04 Issue:4 Volume:135 Page:713-716
ISSN:1898-794X
Container-title:Acta Physica Polonica A
language:
Short-container-title:Acta Phys. Pol. A

Author:

Arslankaya S.¹,Kaya N.K.²,Toplan H.Ö²

Affiliation:

1. Sakarya University, Engineering Faculty, Industrial Engineering Department, Esentepe Campus, Serdivan, Sakarya, Turkey

2. Sakarya University, Engineering Faculty, Metallurgical and Materials Engineering Department, Esentepe Campus, Serdivan, Sakarya, Turkey

Publisher

Institute of Physics, Polish Academy of Sciences

Subject

General Physics and Astronomy

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating the Effects of Heat Treatment on Aluminum Alloy with Artificial Neural Networks;Emerging Materials Research;2020-06-01

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