Openly accessible

An unsupervised feature extraction method based on self coded neural network

Hao, Long and Jiang, Frank 2019, An unsupervised feature extraction method based on self coded neural network, in ICAACE 2019 : Proceedings of the International Conference on Advanced Algorithms and Control Engineering (ICAACE 2019) 26–28 April 2019, Guilin, China, IOP Publishing, Bristol, Eng., pp. 1-6, doi: 10.1088/1742-6596/1213/4/042067.

Attached Files
Name Description MIMEType Size Downloads

Title An unsupervised feature extraction method based on self coded neural network
Author(s) Hao, Long
Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Conference name Advanced Algorithms and Control Engineering. Conference (2019 : Guilin, China)
Conference location Guilin, China
Conference dates 26-28 Apr. 2019
Title of proceedings ICAACE 2019 : Proceedings of the International Conference on Advanced Algorithms and Control Engineering (ICAACE 2019) 26–28 April 2019, Guilin, China
Publication date 2019
Series Journal of Physics: Conference Series
Start page 1
End page 6
Total pages 6
Publisher IOP Publishing
Place of publication Bristol, Eng.
ISSN 1742-6588
1742-6596
Language eng
DOI 10.1088/1742-6596/1213/4/042067
Indigenous content off
Field of Research 02 Physical Sciences
09 Engineering
HERDC Research category E1.1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135132

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 21 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 19 Feb 2020, 13:52:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.