شماره ركورد كنفرانس :
4865
عنوان مقاله :
Using Artificial Neural Network For Modeling of Thermophisical Properties Of Carbon Quantum Dot based nanofluids
پديدآورندگان :
M Mirsaeidia S.A am.mirsaidi@gmail.com Yasouj University , .yousefi F Yasouj University
كليدواژه :
Artifician neural network , Carbon dot , density , viscosity , Thermal conductivity
عنوان كنفرانس :
بيست و دومين كنفرانس ملي شيمي فيزيك ايران
چكيده فارسي :
Abstract: This paper presents the model including back-propagation network (BPN) and principal component analysis (PCA) to estimate the thermophisical properties of carbon quantum dot nanofluids in water, Ethylene glycol and mixture of water/ethylene glycol. For optimizing to the BPN’s parameters and improve the accuracy of proposed model, the PCA was coupled with the BPN.
