Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks

Abstract The necessity of an abundance of training data commonly hinders the broad use of machine learning in the plastics processing industry. Induced network-based transfer learning is used to reduce the necessary amount of injection molding process data for the training of an artificial neural ne... View More