Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization

Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization

By means of the model of extreme learning machine based upon DE optimization, this article particularly centers on the optimization thinking of such a model as well as its application effect in the field of listed company’s financial position classification. It proves that the improved extreme learn...

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Bibliographic Details
Main Authors: Fu Yu, Mu Jiong, Duan Xu Liang
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20164402093
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spelling doaj-84bd489e330648b79cec719f6059c3712021-02-02T02:29:10ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01440209310.1051/matecconf/20164402093matecconf_iceice2016_02093Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE OptimizationFu Yu0Mu Jiong1Duan Xu Liang2College of Information Engineering and Technology Sichuan Agricultural UniversityCollege of Information Engineering and Technology Sichuan Agricultural UniversityCollege of Information Engineering and Technology Sichuan Agricultural UniversityBy means of the model of extreme learning machine based upon DE optimization, this article particularly centers on the optimization thinking of such a model as well as its application effect in the field of listed company’s financial position classification. It proves that the improved extreme learning machine algorithm based upon DE optimization eclipses the traditional extreme learning machine algorithm following comparison. Meanwhile, this article also intends to introduce certain research thinking concerning extreme learning machine into the economics classification area so as to fulfill the purpose of computerizing the speedy but effective evaluation of massive financial statements of listed companies pertain to different classeshttp://dx.doi.org/10.1051/matecconf/20164402093
collection DOAJ
language English
format Article
sources DOAJ
author Fu Yu
Mu Jiong
Duan Xu Liang
spellingShingle Fu Yu
Mu Jiong
Duan Xu Liang
Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
MATEC Web of Conferences
author_facet Fu Yu
Mu Jiong
Duan Xu Liang
author_sort Fu Yu
title Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
title_short Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
title_full Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
title_fullStr Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
title_full_unstemmed Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
title_sort research into financial position of listed companies following classification via extreme learning machine based upon de optimization
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description By means of the model of extreme learning machine based upon DE optimization, this article particularly centers on the optimization thinking of such a model as well as its application effect in the field of listed company’s financial position classification. It proves that the improved extreme learning machine algorithm based upon DE optimization eclipses the traditional extreme learning machine algorithm following comparison. Meanwhile, this article also intends to introduce certain research thinking concerning extreme learning machine into the economics classification area so as to fulfill the purpose of computerizing the speedy but effective evaluation of massive financial statements of listed companies pertain to different classes
url http://dx.doi.org/10.1051/matecconf/20164402093
work_keys_str_mv AT fuyu researchintofinancialpositionoflistedcompaniesfollowingclassificationviaextremelearningmachinebasedupondeoptimization
AT mujiong researchintofinancialpositionoflistedcompaniesfollowingclassificationviaextremelearningmachinebasedupondeoptimization
AT duanxuliang researchintofinancialpositionoflistedcompaniesfollowingclassificationviaextremelearningmachinebasedupondeoptimization
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