Financial fraud detection system by deeplearning neural-network

摘要

Disclosed is an abnormal symptom detecting system for a deep learning model based on automatic learning using a neural network. The purpose of the present invention is to provide a technical method for overcoming frequent misdetection and detection error due to an existing rule-based abnormal transaction detecting technique. The abnormal symptom detecting system for a deep learning model based on automatic learning using a neural network includes: a simulation server generating multiple feature items for deep learning by inputting collected transaction log and accident information; a deep learning server generating a deep learning model by performing the deep learning by the multiple feature items; and a detection/manager console server detecting a financial abnormal transaction based on the deep learning model generated by the deep learning server and a predetermined rule.