摘要
为解决换热器的分布参数模型存在的精度与计算代价之间难以调和的矛盾,本文提出了一种新的方法,即光用一个积分近似模型作为对原分布参数模型的简化,而仅对积分近似中某些非线性关系用神经网络来表达。该方法用于翅片管式冷凝器的实际计算,验证了这一思路的有效性。
In order to improve predicting precision and increase computation speed of simulation for heat exchanger, a novel method is presented in this paper, in which an approximate integral model is used to simplify the original distributed parameter model and an artificial neural network is combined to reflect the nonlinear relations in the integral model. This model is improved by actual calculations of fin-tube condensers.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2002年第6期736-738,共3页
Journal of Engineering Thermophysics
基金
国家重点基础研究发展规划资助项目(No.G2000026309)
关键词
神经网络
换热器
积分近似模型
heat exchanger
approximate integration
model
artificial neural network
