A method for predicting mechanical properties of composite microstructure with reduced dataset based on transfer learning

Establishing structure-property linkages of composites by machine learning with limited labeled samples remains an ongoing challenge. A method for predicting mechanical properties of two-phase composite with reduced dataset based on transfer learning is proposed. In this method, an analytical presentation regarding composite microstructure characteristics is proposed and used to acquire the sample label, by which sufficient dataset can be...