采用多层前向型神经网络，对电站锅炉对流受热面的实时污染状况建立了监测模型。
Fouling Monitoring Modeling System based on the BP neural network for boiler convection surfaces is presented in this paper.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
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