## Ẃe present a new associative memory model that stores arbitrary bipolar patterns without the problems we can find in other models like BAM or LAM. After identifying those problems we show the new memory topology and we explain its learning and recall stages. Mathematical demonstrations are provi
A new neural associative memory model
✍ Scribed by Patrik Floréen
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 664 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
We present a new associative memory model based on the Hamming memory, but where the winner-take-all network part is replaced by a layer of nodes with somewhat complex node functions. This new memory can produce output vectors with individual "don't know" bits. The simulations demonstrate that this memory model works appropriately.
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