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《Journal of Northeast Dianli University》 2007-06
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Improvement and Application of Two Mathematics Models in Evaluating the State of Deposition and Slagging of Coal Burning Boiler

WEN Xiao-qiang~1 LIU Yan-chen~1 SUN Yuan-yuan~2 SUN Ling-tang~3 (1.Simulation Center of Power System Operation of Northeast Dianli University,Jilin City,132012; 2.Guard Office of Northeast Dianli University; 3.Automation Engineering College of Northeast Dianli University)  
To solve the problem of low accuracy of normal pattern-recognition and BP neural-network model in predicting and determining the state of deposition and slagging of coal burning boiler,two dynamic norms are applied in the two new models.Through experiments,it proves that the two new models are higher in accuracy than the traditional ones accordingly and also proves that the models are reasonable and practicable.
【CateGory Index】: TK227.1
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