Notice of RetractionExperiment and modeling research on the number emission of diesel exhaust particles

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

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Due to their adverse health effects and their abundance in urban areas, diesel exhaust particles (DEP) have been of great concern in the past years. An experiment was carried out on a direct injection, turbocharged diesel engine to investigate the number emission characteristics of particles. Furthermore, an artificial neural network (ANN) was used to establish an emission model of the diesel engine to predict the number and size of DEP. The results indicated that the mean relative errors were found to be less than 2.0% and the coefficients of determination (R2) were more than 0.95 for both particle number and size at training phrase. The R2 of particle number and particle size in the testing phrase between the predicted and actual values were 0.99 and 0.94 respectively. The ANN can be used to predict the number emissions of diesel exhaust particles.