Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194
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| Item Type: | Article |
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| Item Status: | Live Archive |
Abstract
A new learning algorithm is presented for enhancing the scale or structure of an already trained self-organising map (SOM) without the need to re-use the original training data. Alternative methods for the insertion of these additional interpolating neurons, while still preserving the learnt topology, are presented together with two illustrative examples of the algorithm in operation
| Additional Information: | A new learning algorithm is presented for enhancing the scale or structure of an already trained self-organising map (SOM) without the need to re-use the original training data. Alternative methods for the insertion of these additional interpolating neurons, while still preserving the learnt topology, are presented together with two illustrative examples of the algorithm in operation |
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| Keywords: | data visualisation, interpolation, artificial intelligence, self-organising feature maps, algorithm |
| Subjects: | G Mathematical and Computer Sciences > G500 Information Systems G Mathematical and Computer Sciences > G760 Machine Learning |
| Divisions: | College of Science > School of Computer Science |
| ID Code: | 5129 |
| Deposited On: | 01 May 2012 13:59 |
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