Dynamic Characteristics Modeling of a Heat Exchanger Using Neural Network

摘要：

To accurately obtain dynamic characteristics of a heat exchanger,black-box modeling method and gray-box modeling method were used with the help of neural network technology.The black-box model directly used the heat exchanger’s input and output data to train the neural network.It constantly adjusted the network’s weight to record the system’s dynamic characteristics,and then predict output.Having known the heat exchanger’s operating point,the gray-box model used filtered input and output data to train the neural network.It also identified the model parameters at the operating point,and then predicted output.By comparing experimental data of the two models,the results show that the gray-box model is better than the black-box model on hidden layer nodes,network training,errors and prediction accuracy.

作者: Youen Zhao Shoujun Zhou Li Li

作者单位: Department of Computer Science and Technology,Shandong Economic University,Jinan 250014,China School of Thermal Energy Engineering,Shandong Jianzhu University,Jinan,250014,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）