NEURAL-NETWORK MODELING OF HEAT TRANSFER OF BENZENE IN AN ELECTRIC FIELD

被引：1

作者：

Mukhutdinov, A. R. ^{[1
]}

Vakhidova, Z. R. ^{[2
]}

机构：

[1] Kazan Natl Res Technol Univ, Kazan, Russia

[2] Kazan Fed Univ, Kazan, Russia

来源：

CHEMICAL AND PETROLEUM ENGINEERING | 2015年 / 50卷 / 11-12期

关键词：

modeling; dielectric liquid; heat transfer; electric field; artificial neural network;

D O I：

10.1007/s10556-015-9974-6

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A neural-network model allowing for extraction of new knowledge from experimental data is developed on the basis of studies using modern computer technology. Prediction of an output parameter (relative change in coefficient of thermal conductivity) with a relative error of 4% on a network previously trained by means of a knowledge base is demonstrated. Some features and laws of the heat transfer of benzene in an electric field are established.

引用

页码：761 / 765

页数：5