Canuto, A. and Howells, G. and Fairhurst, M.C. (2000) An investigation of the effects of variable vigilance within the RePART neuro-fuzzy network. Journal of Intelligent & Robotic Systems, 29 (4). pp. 317-334. ISSN 0921-0296.
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| Official URL http:dx.doi.org/10.1023/A:1008159908688 |
Abstract
RePART is a variation of fuzzy ARTMAP to which a reward/punishment concept has been added. Previously, an improvement in performance of RePART had been noted compared with other ARTMAP-based models, such as fuzzy ARTMAP and ARTMAP-IC. In this paper, a wider investigation of RePART performance is described, in which RePART is analysed in relation to a multi-layer perceptron and a RAM-based network in a handwritten numeral recognition task. In the RePART network, a variable vigilance parameter is proposed in order to smooth the poor-generalisation problem of RePART. Firstly, the same vigilance is associated within every neuron general variable vigilance. Secondly, an individual variable vigilance for each neuron - which takes into account its average and Frequency of activation - is used. In a handwritten numeral recognition task using individual variable vigilance, RePART performance improved and demonstrated a performance comparable with alternative architectures such as fuzzy multi-layer perceptron and Radial RAM.
| Item Type: | Article |
|---|---|
| Uncontrolled keywords: | fuzzy ARTMAP; reward/punishment parameter; RePART; fuzzy multi-layer perceptron; radial RAM; variable vigilance parameter; handwritten numeral recognition |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Computing |
| Depositing User: | P. Ogbuji |
| Date Deposited: | 09 Apr 2009 11:57 |
| Last Modified: | 29 May 2012 09:05 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/16214 (The current URI for this page, for reference purposes) |
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