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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creator | HOLTHAUSEN, KLAUS., 07743 JENA, DE BREIDBACH, OLAF, DR., 07743 JENA, DE |
description | 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. |
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ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>1999</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19990617&DB=EPODOC&CC=DE&NR=19754713A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19990617&DB=EPODOC&CC=DE&NR=19754713A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HOLTHAUSEN, KLAUS., 07743 JENA, DE</creatorcontrib><creatorcontrib>BREIDBACH, OLAF, DR., 07743 JENA, DE</creatorcontrib><title>Identification method for recognizing anomalies in electronic data analysis</title><description>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.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>1999</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEOwjAMQNEsDAi4gzkAQ1RQxYigCMTKXlmJ01pK7SrxAqeHgQMw_eH9pXvcI4lx4oDGKjCRjRohaYFCQQfhN8sAKDphZqrAApQpWFHhABENv4j5Vbmu3SJhrrT5deW21-55vu1o1p7qjIGErL90_tge9q1vTr755_kApUI19Q</recordid><startdate>19990617</startdate><enddate>19990617</enddate><creator>HOLTHAUSEN, KLAUS., 07743 JENA, DE</creator><creator>BREIDBACH, OLAF, DR., 07743 JENA, DE</creator><scope>EVB</scope></search><sort><creationdate>19990617</creationdate><title>Identification method for recognizing anomalies in electronic data analysis</title><author>HOLTHAUSEN, KLAUS., 07743 JENA, DE ; BREIDBACH, OLAF, DR., 07743 JENA, DE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_DE19754713A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; ger</language><creationdate>1999</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HOLTHAUSEN, KLAUS., 07743 JENA, DE</creatorcontrib><creatorcontrib>BREIDBACH, OLAF, DR., 07743 JENA, DE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HOLTHAUSEN, KLAUS., 07743 JENA, DE</au><au>BREIDBACH, OLAF, DR., 07743 JENA, DE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Identification method for recognizing anomalies in electronic data analysis</title><date>1999-06-17</date><risdate>1999</risdate><abstract>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.</abstract><edition>6</edition><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Identification method for recognizing anomalies in electronic data analysis |
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