摘要
针对热交换器的滞后、时变、非线性特性,提出一种新的基于工作点的换热器神经网络动态建模方法,即利用静态网络加动态环节的方法建立换热器系统的神经网络动态模型,称为灰箱式动态模型。算法推导过程中采用矩阵形式,易于理解和编程,模型经过训练后,预测结果准确。
Neural network is used to establish dynamic model of heat exchanger system in this paper. A graybox model is put forward on the base of analyzing heat exchanger＇s operating characteristic. Matrix operations are easy to be understood, and the predicted result is accurate.
出处
《节能技术》
CAS
2005年第4期321-323,共3页
Energy Conservation Technology
关键词
热交换器
神经网络
动态建模
heat exchanger
neural network
dynamic model
