摘要
对于多效蒸发海水淡化系统,由于各效传热系数预先未知,因此在等加热面积的温差分配方案下,设计需要的计算量非常庞大。引入ART自适应算法预示各效传热系数,结果相当准确,据此确定系统的温差分配方案,可大大降低系统设计的工作量。该方法已成功应用于某多效蒸发海水淡化系统的设计中。
For multi-effect VTE-MED seawater desalination system, each heat transfer coefficient is unknown in advance. ART neural network technology is introduced in this paper by using its recall ability to predict the average heat transfer coefficients. Results with equal temperature difference distribution scheme are considered as training samples of building ART networks. The output layer stands for heat transfer coefficients. The proposed model is applied successfully in designing an actual seawater desalination system.
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2002年第4期65-68,共4页
Journal of North China Electric Power University:Natural Science Edition
关键词
ART网络算法
多效蒸发器
温差分配
换热器
神经网络
seawater desalination
multi-effect distillation
tem- perature difference distribution scheme
neural networks tech- nology
ART algorithm