The number of direct attractors in discrete state neural networks

Autor:	R. Raju Viswanathan
Rok vydání:	1994
Předmět:	Quantitative Biology::Neurons and Cognition Artificial neural network Isotropy Attractor General Engineering Statistical and Nonlinear Physics Radius State (functional analysis) Topology Space (mathematics) Hamming code Algorithm Mathematics
Zdroj:	Journal de Physique I. 4:675-680
ISSN:	1286-4862 1155-4304
DOI:	10.1051/jp1:1994169
Popis:	The maximum possible number of isotropic direct attractors of given Hamming radius in discrete state neural networks is obtained by means of evaluation of the fractional volume in the space of interactions. This number is proportional to the total number of neurons in the network
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4003303427b9fa5a443b27d9d0e79a9e https://doi.org/10.1051/jp1:1994169 Zobrazit plný text záznamu