We consider the Hopfield associative memory for storing m patterns xi(r) in { - 1, + 1}(n), r = 1, em leader,m. The weights are given by the scalar product model w(ij)=(m/n)G,i not equal j,w(ii) identical with 0, where G:R --> R is some nonlinear function, like G(x) z.tbnd6; Sgn(x), which is used in
โฆ LIBER โฆ
Storage capacity and errors of neural networks
โ Scribed by Shubnikov, E. I.
- Book ID
- 115400051
- Publisher
- Optical Society of America
- Year
- 2000
- Tongue
- English
- Weight
- 62 KB
- Volume
- 67
- Category
- Article
- ISSN
- 1070-9762
No coin nor oath required. For personal study only.
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