| This paper has illustrated the essential theory of fuzzy logic system, neural network and fuzzy neural network .Through analyzing main influencing factors of boiler combustion, seven parameters were selected as judgement indexes. The model of improved fuzzy neural network and single factor veto has been established that was applied to online judgement of 670t/h boiler combustion stability. The function of single factor veto can realize judgments when anyone of those factors can determine the stability of boiler combustion, so the judgement model is more rational. The online judgement system of boiler combustion stability has been exploited. Through the neural network learning of the system, the learning samples of module were selected, and the network is trained and verified successfully. The research indicates that the system can reflect the practical changing trend of combustion. The online judgement system of combustion stability has come true. Therefore, the system can instruct operators correctly.
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