Personal credit rating method based on deep learning and application thereof
The invention provides a personal credit rating method based on deep learning and application thereof, and the method comprises the following steps: S00, sequentially carrying out data cleaning, data integration, dimension reduction operation, data transformation and word vectorization on government...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
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 | TIAN YU CAO PENGYIN CHEN CHAO LAI JIAFEI YU QIANG |
description | The invention provides a personal credit rating method based on deep learning and application thereof, and the method comprises the following steps: S00, sequentially carrying out data cleaning, data integration, dimension reduction operation, data transformation and word vectorization on government affair big data related to personal credit investigation, and obtaining a word vector required by a deep learning model; s10, establishing a deep learning model based on a competitive combined neural network, inputting the word vectors into the deep learning model for training, and optimizing parameters of a second part of the neural network through an evolutionary algorithm to obtain a trained deep learning model; and S20, performing personal credit rating classification on the to-be-classified data through the deep learning model. According to the method, the precision of personal credit rating classification can be effectively improved, meanwhile, in the process of processing big data, the training speed is hig |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115907775A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115907775A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115907775A3</originalsourceid><addsrcrecordid>eNqNyjEKAjEQRuE0FqLeYTyA4CJLsJRFsRCxsF_G5N_dQJwJSe6PK3gAq1d8b2luD-SiwpFchg-VMtcgI71RJ_X04gJPKuSBRBGc5assnjilGNx8z1onZOiwNouBY8Hm15XZXs7P7rpD0h4lsYOg9t29adrj3lrbng7_PB-O5zXK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Personal credit rating method based on deep learning and application thereof</title><source>esp@cenet</source><creator>TIAN YU ; CAO PENGYIN ; CHEN CHAO ; LAI JIAFEI ; YU QIANG</creator><creatorcontrib>TIAN YU ; CAO PENGYIN ; CHEN CHAO ; LAI JIAFEI ; YU QIANG</creatorcontrib><description>The invention provides a personal credit rating method based on deep learning and application thereof, and the method comprises the following steps: S00, sequentially carrying out data cleaning, data integration, dimension reduction operation, data transformation and word vectorization on government affair big data related to personal credit investigation, and obtaining a word vector required by a deep learning model; s10, establishing a deep learning model based on a competitive combined neural network, inputting the word vectors into the deep learning model for training, and optimizing parameters of a second part of the neural network through an evolutionary algorithm to obtain a trained deep learning model; and S20, performing personal credit rating classification on the to-be-classified data through the deep learning model. According to the method, the precision of personal credit rating classification can be effectively improved, meanwhile, in the process of processing big data, the training speed is hig</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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&date=20230404&DB=EPODOC&CC=CN&NR=115907775A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230404&DB=EPODOC&CC=CN&NR=115907775A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TIAN YU</creatorcontrib><creatorcontrib>CAO PENGYIN</creatorcontrib><creatorcontrib>CHEN CHAO</creatorcontrib><creatorcontrib>LAI JIAFEI</creatorcontrib><creatorcontrib>YU QIANG</creatorcontrib><title>Personal credit rating method based on deep learning and application thereof</title><description>The invention provides a personal credit rating method based on deep learning and application thereof, and the method comprises the following steps: S00, sequentially carrying out data cleaning, data integration, dimension reduction operation, data transformation and word vectorization on government affair big data related to personal credit investigation, and obtaining a word vector required by a deep learning model; s10, establishing a deep learning model based on a competitive combined neural network, inputting the word vectors into the deep learning model for training, and optimizing parameters of a second part of the neural network through an evolutionary algorithm to obtain a trained deep learning model; and S20, performing personal credit rating classification on the to-be-classified data through the deep learning model. According to the method, the precision of personal credit rating classification can be effectively improved, meanwhile, in the process of processing big data, the training speed is hig</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKAjEQRuE0FqLeYTyA4CJLsJRFsRCxsF_G5N_dQJwJSe6PK3gAq1d8b2luD-SiwpFchg-VMtcgI71RJ_X04gJPKuSBRBGc5assnjilGNx8z1onZOiwNouBY8Hm15XZXs7P7rpD0h4lsYOg9t29adrj3lrbng7_PB-O5zXK</recordid><startdate>20230404</startdate><enddate>20230404</enddate><creator>TIAN YU</creator><creator>CAO PENGYIN</creator><creator>CHEN CHAO</creator><creator>LAI JIAFEI</creator><creator>YU QIANG</creator><scope>EVB</scope></search><sort><creationdate>20230404</creationdate><title>Personal credit rating method based on deep learning and application thereof</title><author>TIAN YU ; CAO PENGYIN ; CHEN CHAO ; LAI JIAFEI ; YU QIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115907775A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>TIAN YU</creatorcontrib><creatorcontrib>CAO PENGYIN</creatorcontrib><creatorcontrib>CHEN CHAO</creatorcontrib><creatorcontrib>LAI JIAFEI</creatorcontrib><creatorcontrib>YU QIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TIAN YU</au><au>CAO PENGYIN</au><au>CHEN CHAO</au><au>LAI JIAFEI</au><au>YU QIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Personal credit rating method based on deep learning and application thereof</title><date>2023-04-04</date><risdate>2023</risdate><abstract>The invention provides a personal credit rating method based on deep learning and application thereof, and the method comprises the following steps: S00, sequentially carrying out data cleaning, data integration, dimension reduction operation, data transformation and word vectorization on government affair big data related to personal credit investigation, and obtaining a word vector required by a deep learning model; s10, establishing a deep learning model based on a competitive combined neural network, inputting the word vectors into the deep learning model for training, and optimizing parameters of a second part of the neural network through an evolutionary algorithm to obtain a trained deep learning model; and S20, performing personal credit rating classification on the to-be-classified data through the deep learning model. According to the method, the precision of personal credit rating classification can be effectively improved, meanwhile, in the process of processing big data, the training speed is hig</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN115907775A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Personal credit rating method based on deep learning and application thereof |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T00%3A09%3A53IST&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=TIAN%20YU&rft.date=2023-04-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115907775A%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 |