摘要
对锅炉过热器、再热器炉内壁温传统的的计算方法进行了初步的理论分析,提出采用人工神经网络的过热器、再热器管壁壁温计算方法。探讨神经网络在此应用过程中存在的问题以及应用前景。
Following a preliminary theoretical analysis of the conventional calculation method of boiler superheater and reheater wall temperatures, a calculation method is proposed which is based on the application of neural networks, together with a discussion on problems that may hereby arise, as well as future prospects.
出处
《发电设备》
2005年第2期108-111,共4页
Power Equipment
关键词
管壁温度
BP神经网络
非线性函数逼近
tube well temperature, BP neural network
approximation of nonlinear functions
