摘要
锅炉管壁超温现象的存在严重影响了锅炉的安全及可靠性。在对BP神经网络简介的基础上,详细研究了基于BP的锅炉管壁温度预测的数字模型,并通过应用样本的获取,分析BP神经网络在锅炉管壁温度预测方面的设计、不足及具体的参数选择,从而降低了火力发电厂锅炉管壁超温情况的发生,延长了锅炉的使用寿命。
Over-temperature boiler wall of the existence of the phenomenon has seriously affected the safety and reliability of the boiler. In this paper, BP neural network in the Introduction, based on a detailed study of BP based on the temperature of the boiler wall forecast model, and through the application of sample acquisition, analysis of BP neural network prediction of temperature in the boiler wall design, and lack of specific choice of parameters, thereby reducing the over-temperature thermal power plant boiler wall from happening, to extend the life of the boiler.
出处
《软件导刊》
2009年第9期79-81,共3页
Software Guide
关键词
神经网络
管壁超温
温度预测
Neural Network
Wall Over-temperature
Temperature Prediction
