Li, Y, Pont, MJ, Parikh, CR and Jones, NB 2000, Comparing the performance of three neural classifiers for use in embedded applications , in: Recent Advances in Soft Computing Techniques and Applications, 1-2 July 1999, Leicester, UK.
Full text not available from this repository. (Request a copy)Abstract
In this paper, we provide a detailed empirical comparison of three neural-based classifiers used in embedded applications. The three techniques (multi-layer Perceptrons, radial basis function networks and adaptive fuzzy systems) are compared with one another and with a classical kNN classifier. In this study, we observe that the MLP provides similar levels of performance to the RBFN, AFS land kNN) classifiers while exerting a lower computational load on the processor.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | Advances in Soft Computing |
| Publisher: | Physica-Verlag: Heidelberg |
| Refereed: | Yes |
| Series Name: | Advances in Soft Computing |
| Funders: | Non funded research |
| Depositing User: | Yuhua Li |
| Date Deposited: | 27 Jul 2015 11:00 |
| Last Modified: | 05 Apr 2016 18:18 |
| URI: | http://usir.salford.ac.uk/id/eprint/33142 |
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