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.
Original language | English |
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Title of host publication | 2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) |
Publisher | IEEE |
Pages | 413-416 |
Number of pages | 4 |
ISBN (Print) | 978-1-4673-2056-6 |
DOIs | |
State | Published - 2012 |
Keywords
- least trimmed squares (LTS) estimator
- fuzzy neural network (FNN)
- least trimmed squares fuzzy neural network (LTS-FNN)
- adaptive least trimmed squares fuzzy neural network (ALTS-FNN)