Analyzing of the Viscosity by Using Artificial Neural Networks

Esme IŞIK

Makale detayları

Analyzing of the Viscosity by Using Artificial Neural Networks

Yazarlar:

Esme IŞIK

Yayıncı:

Niyazi BULUT

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

Journal of Physical Chemistry and Functional Materials 2020 Vol.3 Issue 2, pp.72-76

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000492733

Sıklık:

İki Yıllık

eISSN:

2651-3080

pISSN:

2651-3080

Özet:

 

The nano networks with many thousands of devices which are working cooperatively to complete challenging tasks, ultra-responsive to changes in the environment, and self-replicating devices are called nano devices (nano machine). It is thought that the studies in this field will contribute greatly to the developments in the field of nano technology. Many models have been proposed to provide nano or macro-scale systems such as molecular communication, interstitial or inter-neural communication. In these systems, information is carried by the molecules in the diffusion medium and the viscosity of the medium is an important parameter. In this study, some of the system parameters, the viscosity and distance (d) between transmitter and receiver are examined detailed by using Artificial Neural Network (ANN) algorithm in Matlab. Viscosity and d are simulated and predicted by using ANN and they also compared with results of the proposed system model.

Makale detayları

Analyzing of the Viscosity by Using Artificial Neural Networks

Yazarlar: Esme IŞIK

Yayıncı: Niyazi BULUT

Ana Başlıklar: Mühendislik ve uygulamalı operasyonlar

Dergi: Journal of Physical Chemistry and Functional Materials 2020 Vol.3 Issue 2, pp.72-76

Belge Tipi: Makale

Yayın Tarihi: 12/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000492733

Sıklık: İki Yıllık

eISSN: 2651-3080

pISSN: 2651-3080

Sayı

Yazarlar:

Esme IŞIK

Yayıncı:

Niyazi BULUT

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

Journal of Physical Chemistry and Functional Materials 2020 Vol.3 Issue 2, pp.72-76

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000492733

Sıklık:

İki Yıllık

eISSN:

2651-3080

pISSN:

2651-3080