Ensemble network-based data learning method and person identification method

摘要

The present invention relates to an ensemble network-based data learning method and an individual identification method. More specifically, data collected for individual identification are input to a plurality of neural networks to extract excellent data for learning, and then the extracted data are converted into a single neural network. The present invention relates to an ensemble network-based data learning method and a personal identification method capable of preventing overfitting and improving personal identification rate by learning to and performing personal identification.