| Research Title |
Evolutionary Circular Extreme Learning Machine |
| Date of Distribution |
15 November 2013 |
| Conference |
| Title of the Conference |
Computer Science and Engineering Conference (ICSEC), 2013 International |
| Organiser |
มหาวิยาลัยศิลปากร |
| Conference Place |
โรงแรม windsor suites bangkok |
| Province/State |
กรุงเทพมหานคร |
| Conference Date |
4 September 2013 |
| To |
6 September 2013 |
| Proceeding Paper |
| Volume |
13 |
| Issue |
N/A |
| Page |
292-297 |
| Editors/edition/publisher |
IEEE |
| Abstract |
Circular Extreme Learning Machine (C-ELM) is an extension of Extreme Learning Machine. Its power is mapping both linear and circular separation boundaries. However, C-ELM uses the random determination of the input weights and hidden biases, which may lead to local optimal. This paper proposes a hybrid learning algorithms based on the C-ELM and the Differential Evolution (DE) to select appropriate weights and hidden biases. It called Evolutionary circular extreme learning machine (EC-ELM). From experimental results show EC-ELM can slightly improve C-ELM and also reduce the number of nodes network. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
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Publication
Journal Publication
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