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  • Search: subject:"Signal-to-noise ratio method"
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Hebb rule 2 Layered neural network 2 Signal-to-noise ratio method 2 Storage capacity 2 Basin of attraction 1 Generalization ability 1 Non-monotonic transfer function 1 Self-control threshold method 1 Sparse coding 1
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Undetermined 2
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Article 2
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Horiguchi, Tsuyoshi 2 Katayama, Katsuki 2 Sakata, Yasuo 2
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Physica A: Statistical Mechanics and its Applications 2
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RePEc 2
Showing 1 - 2 of 2
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Layered neural networks with non-monotonic transfer functions
Katayama, Katsuki; Sakata, Yasuo; Horiguchi, Tsuyoshi - In: Physica A: Statistical Mechanics and its Applications 317 (2003) 1, pp. 270-298
derive recursion relations for order parameters for those layered networks by the signal-to-noise ratio method. We clarify …
Persistent link: https://www.econbiz.de/10010872059
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Sparse coding for layered neural networks
Katayama, Katsuki; Sakata, Yasuo; Horiguchi, Tsuyoshi - In: Physica A: Statistical Mechanics and its Applications 310 (2002) 3, pp. 532-546
-layered neurons are updated alternately. We derive recursion relations for order parameters by means of the signal-to-noise ratio … method, and then apply the self-control threshold method proposed by Dominguez and Bollé to both layered networks with …
Persistent link: https://www.econbiz.de/10011059011
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