Meteorological service information display optimization method based on artificial intelligence and server

According to the meteorological service information display optimization method based on artificial intelligence and the server, after the initial page image description mining algorithm is debugged to obtain the current page image description mining algorithm, the image description of the space-tim...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: XIA YIMENG, LIU XI, LIANG LENING, LEI LEI, ZHANG QIHUAN, ZHU SHAOMENG, DONG DANMENG, QU YA, CHEN YANG, NAN GE, LIU YUSHAN, LI QIANG, WEN WEI, ZHENG WEI, LI CHUANG, ZHANG YINA
Format: Patent
Sprache:chi ; eng
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 XIA YIMENG
LIU XI
LIANG LENING
LEI LEI
ZHANG QIHUAN
ZHU SHAOMENG
DONG DANMENG
QU YA
CHEN YANG
NAN GE
LIU YUSHAN
LI QIANG
WEN WEI
ZHENG WEI
LI CHUANG
ZHANG YINA
description According to the meteorological service information display optimization method based on artificial intelligence and the server, after the initial page image description mining algorithm is debugged to obtain the current page image description mining algorithm, the image description of the space-time image display data is mined through the current page image description mining algorithm; according to the embodiment of the invention, the page unit description of the space-time image display data can be considered, and the user behavior description of the space-time image display data can also be considered, so that mining and extraction of two-dimensional image descriptions of the page unit and the user behavior by an initial page image description mining algorithm can be realized based on the embodiment of the invention; in this way, the feature mining performance of the current page image description mining algorithm can be improved based on the learning output information and the prior authentication inform
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116738082A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116738082A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116738082A3</originalsourceid><addsrcrecordid>eNqNzEEKwjAUBNBuXIh6h3gAwVrQbqUobnTlXr7JtH5J80PyEfT0FvUAroYZhjcu7kcoJImXji15k5EebGE4tJJ6UpZgHOfo6WkkKvf8-o499CbOXCnDmaFTUm7Z8mBwUHjPHcIAUXAfFGlajFryGbNfTor5fnduDgtEuSBHsgjQS3Mqy_Wmqpf1alv983kDWJlCVQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Meteorological service information display optimization method based on artificial intelligence and server</title><source>esp@cenet</source><creator>XIA YIMENG ; LIU XI ; LIANG LENING ; LEI LEI ; ZHANG QIHUAN ; ZHU SHAOMENG ; DONG DANMENG ; QU YA ; CHEN YANG ; NAN GE ; LIU YUSHAN ; LI QIANG ; WEN WEI ; ZHENG WEI ; LI CHUANG ; ZHANG YINA</creator><creatorcontrib>XIA YIMENG ; LIU XI ; LIANG LENING ; LEI LEI ; ZHANG QIHUAN ; ZHU SHAOMENG ; DONG DANMENG ; QU YA ; CHEN YANG ; NAN GE ; LIU YUSHAN ; LI QIANG ; WEN WEI ; ZHENG WEI ; LI CHUANG ; ZHANG YINA</creatorcontrib><description>According to the meteorological service information display optimization method based on artificial intelligence and the server, after the initial page image description mining algorithm is debugged to obtain the current page image description mining algorithm, the image description of the space-time image display data is mined through the current page image description mining algorithm; according to the embodiment of the invention, the page unit description of the space-time image display data can be considered, and the user behavior description of the space-time image display data can also be considered, so that mining and extraction of two-dimensional image descriptions of the page unit and the user behavior by an initial page image description mining algorithm can be realized based on the embodiment of the invention; in this way, the feature mining performance of the current page image description mining algorithm can be improved based on the learning output information and the prior authentication inform</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; MEASURING ; METEOROLOGY ; PHYSICS ; TESTING</subject><creationdate>2023</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=20230912&amp;DB=EPODOC&amp;CC=CN&amp;NR=116738082A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230912&amp;DB=EPODOC&amp;CC=CN&amp;NR=116738082A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XIA YIMENG</creatorcontrib><creatorcontrib>LIU XI</creatorcontrib><creatorcontrib>LIANG LENING</creatorcontrib><creatorcontrib>LEI LEI</creatorcontrib><creatorcontrib>ZHANG QIHUAN</creatorcontrib><creatorcontrib>ZHU SHAOMENG</creatorcontrib><creatorcontrib>DONG DANMENG</creatorcontrib><creatorcontrib>QU YA</creatorcontrib><creatorcontrib>CHEN YANG</creatorcontrib><creatorcontrib>NAN GE</creatorcontrib><creatorcontrib>LIU YUSHAN</creatorcontrib><creatorcontrib>LI QIANG</creatorcontrib><creatorcontrib>WEN WEI</creatorcontrib><creatorcontrib>ZHENG WEI</creatorcontrib><creatorcontrib>LI CHUANG</creatorcontrib><creatorcontrib>ZHANG YINA</creatorcontrib><title>Meteorological service information display optimization method based on artificial intelligence and server</title><description>According to the meteorological service information display optimization method based on artificial intelligence and the server, after the initial page image description mining algorithm is debugged to obtain the current page image description mining algorithm, the image description of the space-time image display data is mined through the current page image description mining algorithm; according to the embodiment of the invention, the page unit description of the space-time image display data can be considered, and the user behavior description of the space-time image display data can also be considered, so that mining and extraction of two-dimensional image descriptions of the page unit and the user behavior by an initial page image description mining algorithm can be realized based on the embodiment of the invention; in this way, the feature mining performance of the current page image description mining algorithm can be improved based on the learning output information and the prior authentication inform</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MEASURING</subject><subject>METEOROLOGY</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzEEKwjAUBNBuXIh6h3gAwVrQbqUobnTlXr7JtH5J80PyEfT0FvUAroYZhjcu7kcoJImXji15k5EebGE4tJJ6UpZgHOfo6WkkKvf8-o499CbOXCnDmaFTUm7Z8mBwUHjPHcIAUXAfFGlajFryGbNfTor5fnduDgtEuSBHsgjQS3Mqy_Wmqpf1alv983kDWJlCVQ</recordid><startdate>20230912</startdate><enddate>20230912</enddate><creator>XIA YIMENG</creator><creator>LIU XI</creator><creator>LIANG LENING</creator><creator>LEI LEI</creator><creator>ZHANG QIHUAN</creator><creator>ZHU SHAOMENG</creator><creator>DONG DANMENG</creator><creator>QU YA</creator><creator>CHEN YANG</creator><creator>NAN GE</creator><creator>LIU YUSHAN</creator><creator>LI QIANG</creator><creator>WEN WEI</creator><creator>ZHENG WEI</creator><creator>LI CHUANG</creator><creator>ZHANG YINA</creator><scope>EVB</scope></search><sort><creationdate>20230912</creationdate><title>Meteorological service information display optimization method based on artificial intelligence and server</title><author>XIA YIMENG ; LIU XI ; LIANG LENING ; LEI LEI ; ZHANG QIHUAN ; ZHU SHAOMENG ; DONG DANMENG ; QU YA ; CHEN YANG ; NAN GE ; LIU YUSHAN ; LI QIANG ; WEN WEI ; ZHENG WEI ; LI CHUANG ; ZHANG YINA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116738082A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MEASURING</topic><topic>METEOROLOGY</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>XIA YIMENG</creatorcontrib><creatorcontrib>LIU XI</creatorcontrib><creatorcontrib>LIANG LENING</creatorcontrib><creatorcontrib>LEI LEI</creatorcontrib><creatorcontrib>ZHANG QIHUAN</creatorcontrib><creatorcontrib>ZHU SHAOMENG</creatorcontrib><creatorcontrib>DONG DANMENG</creatorcontrib><creatorcontrib>QU YA</creatorcontrib><creatorcontrib>CHEN YANG</creatorcontrib><creatorcontrib>NAN GE</creatorcontrib><creatorcontrib>LIU YUSHAN</creatorcontrib><creatorcontrib>LI QIANG</creatorcontrib><creatorcontrib>WEN WEI</creatorcontrib><creatorcontrib>ZHENG WEI</creatorcontrib><creatorcontrib>LI CHUANG</creatorcontrib><creatorcontrib>ZHANG YINA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XIA YIMENG</au><au>LIU XI</au><au>LIANG LENING</au><au>LEI LEI</au><au>ZHANG QIHUAN</au><au>ZHU SHAOMENG</au><au>DONG DANMENG</au><au>QU YA</au><au>CHEN YANG</au><au>NAN GE</au><au>LIU YUSHAN</au><au>LI QIANG</au><au>WEN WEI</au><au>ZHENG WEI</au><au>LI CHUANG</au><au>ZHANG YINA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Meteorological service information display optimization method based on artificial intelligence and server</title><date>2023-09-12</date><risdate>2023</risdate><abstract>According to the meteorological service information display optimization method based on artificial intelligence and the server, after the initial page image description mining algorithm is debugged to obtain the current page image description mining algorithm, the image description of the space-time image display data is mined through the current page image description mining algorithm; according to the embodiment of the invention, the page unit description of the space-time image display data can be considered, and the user behavior description of the space-time image display data can also be considered, so that mining and extraction of two-dimensional image descriptions of the page unit and the user behavior by an initial page image description mining algorithm can be realized based on the embodiment of the invention; in this way, the feature mining performance of the current page image description mining algorithm can be improved based on the learning output information and the prior authentication inform</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116738082A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
METEOROLOGY
PHYSICS
TESTING
title Meteorological service information display optimization method based on artificial intelligence and server
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T19%3A31%3A57IST&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=XIA%20YIMENG&rft.date=2023-09-12&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116738082A%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