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
β¦ LIBER β¦
On the stability, storage capacity, and design of nonlinear continuous neural networks
β Scribed by Guez, A.; Protopopsecu, V.; Barhen, J.
- Book ID
- 114550824
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 1988
- Weight
- 834 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0018-9472
- DOI
- 10.1109/21.87056
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