节点文献
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
【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。
【Abstract】 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;
【Key words】 tube well temperature, BP neural network; approximation of nonlinear functions;
【Key words】 tube well temperature, BP neural network; approximation of nonlinear functions;
- 【文献出处】 发电设备 ,Power Equipment , 编辑部邮箱 ,2005年02期
- 【分类号】TK222
- 【被引频次】7
- 【下载频次】100