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- W2357323306 abstract "In the present,combustion optimization for the boilers in power station is required by reduce NO_(x) emissions which based on ensure combustion efficiency.That is to say,economics and environmental protection should be satisfied at the same time.In this paper,modified Elman neural network is used to constitute prediction model for boiler's combustion,which has such characteristic as simple structure,low computational complexity,easy to convergence,dynamic learning.Ability of searching optimum point of Genetic Algorithm(GA) is used too,which is combined with modified Elman neural network.In this way,optimal control scheme of governable parameters in operating comditions can be searched,which can realize on-line guiding operator to operate.Simulation result shows that this model is effective,which can achieve optimum searching of high efficiency,low NO_(x) combustion in the boiler,and can satisfy the demand for real-time." @default.
- W2357323306 created "2016-06-24" @default.
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- W2357323306 date "2005-01-01" @default.
- W2357323306 modified "2023-09-25" @default.
- W2357323306 title "On-line Optimizing Combustion for the Boiler Based on Modified Elman Neural Network and Genetic Algorithm" @default.
- W2357323306 hasPublicationYear "2005" @default.
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