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1989

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/9535

Hierarchical neural network with high storage capacity

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http://dx.doi.org/10.1103/PhysRevA.40.5356

Abstract

A recent method used to optimize biased neural networks with low levels of activity is applied to a hierarchical model. As a consequence, the performance of the system is strongly enhanced. The steps to achieve optimization are analyzed in detail.

Subject

Física estadística, Xarxes neuronals (Informàtica), Transformacions de fase (Física estadística)

Subject (English)

Statistical physics, Phase transformations (Statistical physics), Neural networks (Computer science)

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Articles publicats en revistes (Física de la Matèria Condensada)

Citation

PÉREZ-VICENTE, Conrado. Hierarchical neural network with high storage capacity. Physical Review A. 1989. Vol. 40, num. 9, pags. 5356-5360. ISSN 1050-2947. [consulted: 16 of June of 2026]. Available at: https://hdl.handle.net/2445/9535

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