Directing against the features of combustion system in boilers

i.e.nonlinearing

large time delay

time variation

and frequent interference etc.

a mathematical model for the said combustion system has been established by using fuzzy neural networks.Through the established mathematical model

the relationship between combustion efficiency and emission of NOx has been studied

thereby

the combustion system of boiler being optimized

so as to enhance the boiler efficiency and to reduce the emission of pollutants.Results of emulation show that the establishment of model for combustion process in utility boilers by using the modified generalized dynamic neural networks can precisely approximate to the practical data

and the performance is better than other neural networks.