COMPUTER-ASSISTED METHOD FOR GENERATING TRAINING DATA FOR A NEURAL NETWORK FOR PREDICTING A CONCENTRATION OF POLLUTANTS

Various embodiments of the teachings herein include a computer-aided method for generating training data for a neural network used to determine a pollutant concentration from a pollutant emission. The method may include: providing a first series of the pollutant concentration with one reading above a defined threshold value; providing a second series for a physical measured variable related to the pollutant concentration; providing a model for a relationship between the two; computing a first value of the pollutant emission with the model using a value of the measured variable related to a value of the pollutant concentration; computing a second value of the pollutant emission with the model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data using an alteration of the value of the measured series, using the relative change in the computed values of the pollutant emissions.