The three-state layered neural network with finite dilution
โ Scribed by W.K Theumann; R Erichsen Jr.
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 246 KB
- Volume
- 341
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A stationary state replica analysis for a dual neural network model that interpolates between a fully recurrent symmetric attractor network and a strictly feed-forward layered network, studied by Coolen and Viana, is extended in this work to account for finite dilution of the recurrent Hebbian inter
In this paper the efficiency of recurrent neural network implementations of m-state finite state machines will be explored. Specifically, it will be shown that the node complexity for the unrestricted case can be bounded above by O(v/-m-). It will also be shown that the node complexity is 0( ~) when