Identification method for recognizing anomalies in electronic data analysis

Identification method for recognizing anomalies in electronic data analysis

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...

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Bibliographische Detailangaben
Hauptverfasser: HOLTHAUSEN, KLAUS., 07743 JENA, DE, BREIDBACH, OLAF, DR., 07743 JENA, DE
Format: Patent
Sprache:eng ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung: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.