Similarity Measures for Learning in Lattice Based Biomimetic Neural Networks

This paper presents a novel lattice based biomimetic neural network trained by means of a similarity measure derived from a lattice positive valuation. For a wide class of pattern recognition problems, the proposed artificial neural network, implemented as a dendritic hetero-associative memory deliv...

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Auteurs principaux:	Gerhard X. Ritter, Gonzalo Urcid, Luis-David Lara-Rodríguez
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-08-01
Collection:	Mathematics
Sujets:	biomimetic neural networks dendritic computing lattice neural networks lattice valuations pattern recognition similarity measures
Accès en ligne:	https://www.mdpi.com/2227-7390/8/9/1439
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