神经网络在过热器、再热器管壁温度计算中的应用  

Application of Neural Networks in the Calculation of Seperheater and Reheater Tube Wall Temperature

作　　者：吴斐[1] 唐必光[1] 余艳芝[1] 周杰[1] 

机构地区：[1]武汉大学,湖北武汉430072

出　　处：《发电设备》2005年第2期108-111,共4页Power Equipment

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.

关 键 词：管壁温度 BP神经网络 非线性函数逼近 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]