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
تعداد صفحه
2
كليدواژه
Artifician neural network , Carbon dot , density , viscosity , Thermal conductivity
سال انتشار
1398
عنوان كنفرانس
بيست و دومين كنفرانس ملي شيمي فيزيك ايران
زبان مدرك
انگليسي
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.
كشور
ايران
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