Identification method for recognizing anomalies in electronic data analysis

摘要

A neuronal network is created with unmonitored anomaly recognition to examine data contents not in patterns to be detected but to analyze the discrete intensity distribution of data to be examined and controlled under special conditions according to the Kerridge-Bongard entropy, so that any type of deviation in the pattern and the position of standard data contents is identified.