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。
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.
出处
《汽轮机技术》
北大核心
2004年第4期244-246,共3页
Turbine Technology
关键词
神经网络
火电厂
neural network
fired power plant
