Adaptive Least Trimmed Squares Fuzzy Neural Network
| dc.citation.epage | 416 | en_US |
| dc.citation.spage | 413 | en_US |
| dc.contributor.author | Chang, Jyh-Yeong | en_US |
| dc.contributor.author | Liao, Shih-Hui | en_US |
| dc.contributor.author | Lin, Chin-Teng | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:33:16Z | |
| dc.date.available | 2014-12-08T15:33:16Z | |
| dc.date.issued | 2012 | en_US |
| dc.description.abstract | In this paper, we propose the adaptive least trimmed squares fuzzy neural network (ALTS-FNN), which applies the scale estimate to the least trimmed squares fuzzy neural network (LTS-FNN). The emphasis of this paper is particular on the robustness against the outliers and the choice of the trimming constant can be determined adaptively. Some numerical examples will be provided to compare the robustness against outliers for usual FNN and the ALTS-FNN. Simulation results show that the ALTS-FNN in the paper have good performance for outlier detection. | en_US |
| dc.identifier.isbn | 978-1-4673-2056-6 | en_US |
| dc.identifier.journal | 2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/23148 | |
| dc.identifier.wosnumber | WOS:000326810700074 | |
| dc.language.iso | en_US | en_US |
| dc.subject | least trimmed squares (LTS) estimator | en_US |
| dc.subject | fuzzy neural network (FNN) | en_US |
| dc.subject | least trimmed squares fuzzy neural network (LTS-FNN) | en_US |
| dc.subject | adaptive least trimmed squares fuzzy neural network (ALTS-FNN) | en_US |
| dc.title | Adaptive Least Trimmed Squares Fuzzy Neural Network | en_US |
| dc.type | Proceedings Paper | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed to upon submission
- Description: