Learning model for predicting regression and implementation method
The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for sc...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| 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 | CHANG XINGLONG |
| description | The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model.
本申请公开了一种用于预测回归的学习模型以及实现方法。该模型包括：相似度计算模块，用于对输入模型的目标企业数据进行相似度计算，得到相似企业；打分模块，对所述相似企 |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN110084411A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN110084411A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN110084411A3</originalsourceid><addsrcrecordid>eNrjZHDySU0sysvMS1fIzU9JzVFIyy9SKChKTclMLgEJFqWmF6UWF2fm5ykk5qUoZOYW5KTmpuaVJJaAhHJTSzLyU3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhgYGFiYmhoaMxMWoAdeMyfQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Learning model for predicting regression and implementation method</title><source>esp@cenet</source><creator>CHANG XINGLONG</creator><creatorcontrib>CHANG XINGLONG</creatorcontrib><description>The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model.
本申请公开了一种用于预测回归的学习模型以及实现方法。该模型包括：相似度计算模块，用于对输入模型的目标企业数据进行相似度计算，得到相似企业；打分模块，对所述相似企</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 ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2019</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=20190802&DB=EPODOC&CC=CN&NR=110084411A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190802&DB=EPODOC&CC=CN&NR=110084411A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHANG XINGLONG</creatorcontrib><title>Learning model for predicting regression and implementation method</title><description>The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model.
本申请公开了一种用于预测回归的学习模型以及实现方法。该模型包括：相似度计算模块，用于对输入模型的目标企业数据进行相似度计算，得到相似企业；打分模块，对所述相似企</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>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</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>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDySU0sysvMS1fIzU9JzVFIyy9SKChKTclMLgEJFqWmF6UWF2fm5ykk5qUoZOYW5KTmpuaVJJaAhHJTSzLyU3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhgYGFiYmhoaMxMWoAdeMyfQ</recordid><startdate>20190802</startdate><enddate>20190802</enddate><creator>CHANG XINGLONG</creator><scope>EVB</scope></search><sort><creationdate>20190802</creationdate><title>Learning model for predicting regression and implementation method</title><author>CHANG XINGLONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110084411A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</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>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</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>CHANG XINGLONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHANG XINGLONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Learning model for predicting regression and implementation method</title><date>2019-08-02</date><risdate>2019</risdate><abstract>The invention discloses a learning model for predictive regression and an implementation method. The model comprises a similarity calculation module used for carrying out similarity calculation on target enterprise data input into the model to obtain similar enterprises; a scoring module used for scoring the similar enterprises and screening out similar enterprises in preset interval scores; and an output module used for outputting a preset processing result of the similar enterprises in the preset interval score. The technical problem that experts or consulting institutions are poor in effectof processing mass enterprise data is solved. The health diagnosis and development prediction result of the unknown target enterprise can be generated according to the similar enterprise track. In addition, the method is suitable for a scene of predicting and diagnosing enterprise development in the industry through a machine learning model.
本申请公开了一种用于预测回归的学习模型以及实现方法。该模型包括：相似度计算模块，用于对输入模型的目标企业数据进行相似度计算，得到相似企业；打分模块，对所述相似企</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN110084411A |
| 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 HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Learning model for predicting regression and implementation method |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T07%3A06%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=CHANG%20XINGLONG&rft.date=2019-08-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN110084411A%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 |