| Issue |
MATEC Web of Conferences
Volume 44, 2016
2016 International Conference on Electronic, Information and Computer Engineering
|
|
|---|---|---|
| Article Number | 02093 | |
| Number of page(s) | 6 | |
| Section | Electronics, Information and Engineering Application | |
| DOI | https://doi.org/10.1051/matecconf/20164402093 | |
| Published online | 08 March 2016 | |
Research into Financial Position of Listed Companies following Classification via Extreme Learning Machine Based upon DE Optimization
College of Information Engineering and Technology Sichuan Agricultural University, Ya’an, China
a Corresponding author: scmjmj@163.com
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
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.