The Matlab neural network toolbox was applied to establish the prediction model for NOxemission in a coal-fired power plant boiler.The simulation results show that this forecast model has well accuracy and generalization ability

its average relative error is 1.37%

which means the high accuracy.On the basis of this NOxemission prediction model

the NOxemission was optimized by genetic algorithm.According to the recommended operating parameters

after the optimization

the NOxemission decreased from 456.2mg/m3 to 323.9mg/m3 under the same operation load conditions

reduced by 29%

which is dramatic.