Abstract： A method of prediction was introduced.The method used the BP neural network and added genetic algorithms to optimize the network weights and made up for shortcomings of BP network.The current parameters and historical parameters were selected as input in the model.To ensure network generalization,early stop strategy was exploited to prevent the training network over fitting.The relative error of total emissions prediction was 3.63%,especially the relative error of acceleration and deceleration transient conditions emissions prediction was less than 3%.The results showed that the model could be used to predict transient NOx emission.As the input was mostly control parameters,the model for in-depth study could be carried out.
2012, Vol. 34 
