dorsal/arxiv
View SchemaSome Exact Results of Hopfield Neural Networks and Applications
| Authors | Hong-Liang Lu, Xi-Jun Qiu |
|---|---|
| Categories | |
| ArXiv ID | physics/9907042 |
| URL | https://arxiv.org/abs/physics/9907042 |
Abstract
A set of fixed points of the Hopfield type neural network was under investigation. Its connection matrix is constructed with regard to the Hebb rule from a highly symmetric set of the memorized patterns. Depending on the external parameter the analytic description of the fixed points set had been obtained. And as a conclusion, some exact results of Hopfield neural networks were gained.
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"abstract": "A set of fixed points of the Hopfield type neural network was under\ninvestigation. Its connection matrix is constructed with regard to the Hebb\nrule from a highly symmetric set of the memorized patterns. Depending on the\nexternal parameter the analytic description of the fixed points set had been\nobtained. And as a conclusion, some exact results of Hopfield neural networks\nwere gained.",
"arxiv_id": "physics/9907042",
"authors": [
"Hong-Liang Lu",
"Xi-Jun Qiu"
],
"categories": [
"physics.bio-ph",
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"title": "Some Exact Results of Hopfield Neural Networks and Applications",
"url": "https://arxiv.org/abs/physics/9907042"
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