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.
|The full text of this publication is not available from this repository. (Contact us about this Publication)|
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.
|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)|
- Depositors only (login required):