Loading…
Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring
Saved in:
Published in: | PLoS ONE 2020, Vol.15 (6), p.e0234254 |
---|---|
Main Authors: | , |
Format: | Report |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | 6 |
container_start_page | e0234254 |
container_title | PLoS ONE |
container_volume | 15 |
creator | Zhang, Runchi Qiu, Zhiyi |
description | |
doi_str_mv | 10.1371/journal.pone.0234254 |
format | report |
fullrecord | <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_incontextgauss_IOV_A625832396</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A625832396</galeid><sourcerecordid>A625832396</sourcerecordid><originalsourceid>FETCH-gale_incontextgauss_IOV_A6258323963</originalsourceid><addsrcrecordid>eNqVjT1PwzAURa0KpJaPf9DhrQwJjt2Ylq1CIJi6INbICi-pW8eO3nMI8OtJJQZWpnOHc-8VYlnIvNB3xe0hDhSsz_sYMJdKr1S5molFsdEqM0rqsz95Li6YD1KWem3MQvhdn1znvl1oYf_VI2W9JdthQmKIDQQcyPoJaYx0ZBhd2gOPljpwIaH3rsVQ4z1sIcQP9NCc2icXmkhQE767BFxHmh6uxHljPeP1Ly_FzdPj68Nz1lqPlQt1nCY_U2sH5upl91ZtjSrXWumN0f9xfwCTGlfb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><creator>Zhang, Runchi ; Qiu, Zhiyi</creator><creatorcontrib>Zhang, Runchi ; Qiu, Zhiyi</creatorcontrib><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0234254</identifier><language>eng</language><publisher>Public Library of Science</publisher><subject>Algorithms ; Artificial neural networks ; Credit ratings ; Novels ; Swarm intelligence ; Time</subject><ispartof>PLoS ONE, 2020, Vol.15 (6), p.e0234254</ispartof><tpages>e0234254</tpages><format>e0234254</format><rights>COPYRIGHT 2020 Public Library of Science</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,4476,27901</link.rule.ids></links><search><creatorcontrib>Zhang, Runchi</creatorcontrib><creatorcontrib>Qiu, Zhiyi</creatorcontrib><title>Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring</title><title>PLoS ONE</title><subject>Algorithms</subject><subject>Artificial neural networks</subject><subject>Credit ratings</subject><subject>Novels</subject><subject>Swarm intelligence</subject><subject>Time</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2020</creationdate><recordtype>report</recordtype><recordid>eNqVjT1PwzAURa0KpJaPf9DhrQwJjt2Ylq1CIJi6INbICi-pW8eO3nMI8OtJJQZWpnOHc-8VYlnIvNB3xe0hDhSsz_sYMJdKr1S5molFsdEqM0rqsz95Li6YD1KWem3MQvhdn1znvl1oYf_VI2W9JdthQmKIDQQcyPoJaYx0ZBhd2gOPljpwIaH3rsVQ4z1sIcQP9NCc2icXmkhQE767BFxHmh6uxHljPeP1Ly_FzdPj68Nz1lqPlQt1nCY_U2sH5upl91ZtjSrXWumN0f9xfwCTGlfb</recordid><startdate>20200605</startdate><enddate>20200605</enddate><creator>Zhang, Runchi</creator><creator>Qiu, Zhiyi</creator><general>Public Library of Science</general><scope>IOV</scope></search><sort><creationdate>20200605</creationdate><title>Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring</title><author>Zhang, Runchi ; Qiu, Zhiyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-gale_incontextgauss_IOV_A6258323963</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Artificial neural networks</topic><topic>Credit ratings</topic><topic>Novels</topic><topic>Swarm intelligence</topic><topic>Time</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Runchi</creatorcontrib><creatorcontrib>Qiu, Zhiyi</creatorcontrib><collection>Gale In Context: Opposing Viewpoints</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Runchi</au><au>Qiu, Zhiyi</au><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><atitle>Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring</atitle><jtitle>PLoS ONE</jtitle><date>2020-06-05</date><risdate>2020</risdate><volume>15</volume><issue>6</issue><spage>e0234254</spage><pages>e0234254-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><pub>Public Library of Science</pub><doi>10.1371/journal.pone.0234254</doi><tpages>e0234254</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PLoS ONE, 2020, Vol.15 (6), p.e0234254 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_gale_incontextgauss_IOV_A625832396 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Algorithms Artificial neural networks Credit ratings Novels Swarm intelligence Time |
title | Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-24T20%3A42%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.atitle=Optimizing%20hyper-parameters%20of%20neural%20networks%20with%20swarm%20intelligence:%20A%20novel%20framework%20for%20credit%20scoring&rft.jtitle=PLoS%20ONE&rft.au=Zhang,%20Runchi&rft.date=2020-06-05&rft.volume=15&rft.issue=6&rft.spage=e0234254&rft.pages=e0234254-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0234254&rft_dat=%3Cgale%3EA625832396%3C/gale%3E%3Cgrp_id%3Ecdi_FETCH-gale_incontextgauss_IOV_A6258323963%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A625832396&rfr_iscdi=true |