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神经网络在国内火电厂中的应用
引用本文:杜朝波,高建强,王印松. 神经网络在国内火电厂中的应用[J]. 汽轮机技术, 2004, 46(4): 244-246
作者姓名:杜朝波  高建强  王印松
作者单位:华北电力大学动力系,河北,保定,071003
摘    要:神经网络具有非线性、自组织、自学习特性,在火电厂获得了许多应用。本文综述了神经网络在火电厂中主要的3类应用:故障诊断、性能分析和神经网络控制,并给出了电厂中运用较多的网络形式及其特点。最后,指出了存在的问题和应用的前景。

关 键 词:神经网络 火电厂
文章编号:1001-5884(2004)04-0244-03

The Application of Neural Network In Fired Power Plants of China
DU Chao-bo,GAO Jian-qiang,WANG Yin-song. The Application of Neural Network In Fired Power Plants of China[J]. Turbine Technology, 2004, 46(4): 244-246
Authors:DU Chao-bo  GAO Jian-qiang  WANG Yin-song
Abstract:The neural network has the nonlinear characteristic, self-organizing and self-learning characteristics, so it is widely applied in fired power plants. In this paper, the three main kinds of application of the neural network were discussed; the main forms and attributes of neural networks applied in power plants were also discussed. At last, the existing problems and development prospect were pointed out.
Keywords:neural network  fired power plant
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