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The effects of varying memory vector size in a network that learns to learn
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Brown, G. D. A. (Gordon D. A.), Hyland, P. and Hulme, Charles (1994) The effects of varying memory vector size in a network that learns to learn. In: IEEE World Congress on Computational Intelligence, Orlando, USA, 27 Jun - 2 Jul 1994. Published in: Proceedings of the 1994 IEEE International Conference on Neural Networks : IEEE World Congress on Computational Intelligence, Vol.4 pp. 2291-2296.
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Official URL: http://dx.doi.org/10.1109/ICNN.1994.374576
Abstract
Simulation results show that DARNET, a network model that learns using a gradient-descent procedure to perform single-trial learning, can make efficient use of whatever number of memory trace vector elements it is provided with. However, the effective maximum capacity of the system is determined by the architecture of the model to be the number of items that can be stored in a composite memory trace vector of fixed dimensionality, the optimal size depending on the number of elements in each to-be-associated input vector. DARNET has previously been shown to provide a good account of some relevant psychological data and the present work adds to the authors' understanding of the constraints governing its memory capacity and ability to "learn-to-learn"
| Item Type: | Conference Item (Paper) |
|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics |
| Divisions: | Faculty of Science > Psychology |
| Library of Congress Subject Headings (LCSH): | Memory -- Mathematical models, Convolutions (Mathematics), Neural networks (Computer science), Learning -- Mathematical models |
| Journal or Publication Title: | Proceedings of the 1994 IEEE International Conference on Neural Networks : IEEE World Congress on Computational Intelligence |
| Publisher: | IEEE Neural Networks Council |
| ISSN: | 9780780319028 |
| Book Title: | Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) |
| Date: | 1994 |
| Volume: | Vol.4 |
| Page Range: | pp. 2291-2296 |
| Identification Number: | 10.1109/ICNN.1994.374576 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Conference Paper Type: | Paper |
| Title of Event: | IEEE World Congress on Computational Intelligence |
| Type of Event: | Conference |
| Location of Event: | Orlando, USA |
| Date(s) of Event: | 27 Jun - 2 Jul 1994 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/37230 |
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