TWI628935B

The present invention relates to a method of grouping request traffic, in which each artificial neural network is trained after records are grouped or each artificial neural network is trained by using record data directly, so as to retain the information of higher prediction accuracy therein. A req...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHIANG, PIN JUNG, CHEN, CHI HUA, CHANG, PAO CHUNG, TUNG, WEI HAO, LIN, BON YEH
Format: Patent
Sprache:chi
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator CHIANG, PIN JUNG
CHEN, CHI HUA
CHANG, PAO CHUNG
TUNG, WEI HAO
LIN, BON YEH
description The present invention relates to a method of grouping request traffic, in which each artificial neural network is trained after records are grouped or each artificial neural network is trained by using record data directly, so as to retain the information of higher prediction accuracy therein. A request traffic prediction subsystem can further analyze the records of each certificate being requested to find out one or more certificates of higher request traffic, so as to carry out prediction for the one or more certificates of high request traffic.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_TWI628935BB</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>TWI628935BB</sourcerecordid><originalsourceid>FETCH-epo_espacenet_TWI628935BB3</originalsourceid><addsrcrecordid>eNrjZOAKCfc0M7KwNDZ14mFgTUvMKU7lhdLcDApuriHOHrqpBfnxqcUFicmpeakl8QgNTsZEKAEADdkblA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>TWI628935B</title><source>esp@cenet</source><creator>CHIANG, PIN JUNG ; CHEN, CHI HUA ; CHANG, PAO CHUNG ; TUNG, WEI HAO ; LIN, BON YEH</creator><creatorcontrib>CHIANG, PIN JUNG ; CHEN, CHI HUA ; CHANG, PAO CHUNG ; TUNG, WEI HAO ; LIN, BON YEH</creatorcontrib><description>The present invention relates to a method of grouping request traffic, in which each artificial neural network is trained after records are grouped or each artificial neural network is trained by using record data directly, so as to retain the information of higher prediction accuracy therein. A request traffic prediction subsystem can further analyze the records of each certificate being requested to find out one or more certificates of higher request traffic, so as to carry out prediction for the one or more certificates of high request traffic.</description><language>chi</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2018</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&amp;date=20180701&amp;DB=EPODOC&amp;CC=TW&amp;NR=I628935B$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20180701&amp;DB=EPODOC&amp;CC=TW&amp;NR=I628935B$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHIANG, PIN JUNG</creatorcontrib><creatorcontrib>CHEN, CHI HUA</creatorcontrib><creatorcontrib>CHANG, PAO CHUNG</creatorcontrib><creatorcontrib>TUNG, WEI HAO</creatorcontrib><creatorcontrib>LIN, BON YEH</creatorcontrib><title>TWI628935B</title><description>The present invention relates to a method of grouping request traffic, in which each artificial neural network is trained after records are grouped or each artificial neural network is trained by using record data directly, so as to retain the information of higher prediction accuracy therein. A request traffic prediction subsystem can further analyze the records of each certificate being requested to find out one or more certificates of higher request traffic, so as to carry out prediction for the one or more certificates of high request traffic.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZOAKCfc0M7KwNDZ14mFgTUvMKU7lhdLcDApuriHOHrqpBfnxqcUFicmpeakl8QgNTsZEKAEADdkblA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>CHIANG, PIN JUNG</creator><creator>CHEN, CHI HUA</creator><creator>CHANG, PAO CHUNG</creator><creator>TUNG, WEI HAO</creator><creator>LIN, BON YEH</creator><scope>EVB</scope></search><sort><creationdate>20180701</creationdate><title>TWI628935B</title><author>CHIANG, PIN JUNG ; CHEN, CHI HUA ; CHANG, PAO CHUNG ; TUNG, WEI HAO ; LIN, BON YEH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_TWI628935BB3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi</language><creationdate>2018</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>CHIANG, PIN JUNG</creatorcontrib><creatorcontrib>CHEN, CHI HUA</creatorcontrib><creatorcontrib>CHANG, PAO CHUNG</creatorcontrib><creatorcontrib>TUNG, WEI HAO</creatorcontrib><creatorcontrib>LIN, BON YEH</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHIANG, PIN JUNG</au><au>CHEN, CHI HUA</au><au>CHANG, PAO CHUNG</au><au>TUNG, WEI HAO</au><au>LIN, BON YEH</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>TWI628935B</title><date>2018-07-01</date><risdate>2018</risdate><abstract>The present invention relates to a method of grouping request traffic, in which each artificial neural network is trained after records are grouped or each artificial neural network is trained by using record data directly, so as to retain the information of higher prediction accuracy therein. A request traffic prediction subsystem can further analyze the records of each certificate being requested to find out one or more certificates of higher request traffic, so as to carry out prediction for the one or more certificates of high request traffic.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi
recordid cdi_epo_espacenet_TWI628935BB
source esp@cenet
subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title TWI628935B
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T13%3A44%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=CHIANG,%20PIN%20JUNG&rft.date=2018-07-01&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ETWI628935BB%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true