ADAPTIVE LEARNING ENHANCEMENT TO AUOTMATED MODEL MAINTENANCE

摘要

An adaptive learning method for automated maintenance of a neural net model is provided. The neural net model is trained with an initial set of training data. Partial products of the trained model are stored. When new training data are available, the trained model is updated by using the stored partial products and the new training data to compute weights for the updated model.