Principles of constructing layered neural networks based on pulse neurons
Modelirovanie i analiz informacionnyh sistem, Tome 18 (2011) no. 2, pp. 65-76
Voir la notice de l'article provenant de la source Math-Net.Ru
In the article we describe principles of pulse implementation of multilayer neural networks using biologically plausible neurons. It is shown that the multilayer perceptron can be modeled with a neural network composed of pulse neurons using impulse information coding.
Keywords:
Impulse coding of information, asymptotic analysis, McCulloch–Pits neuron
Mots-clés : multilayer perceptron.
Mots-clés : multilayer perceptron.
@article{MAIS_2011_18_2_a4,
author = {O. A. Dunaeva},
title = {Principles of constructing layered neural networks based on pulse neurons},
journal = {Modelirovanie i analiz informacionnyh sistem},
pages = {65--76},
publisher = {mathdoc},
volume = {18},
number = {2},
year = {2011},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/MAIS_2011_18_2_a4/}
}
TY - JOUR AU - O. A. Dunaeva TI - Principles of constructing layered neural networks based on pulse neurons JO - Modelirovanie i analiz informacionnyh sistem PY - 2011 SP - 65 EP - 76 VL - 18 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/MAIS_2011_18_2_a4/ LA - ru ID - MAIS_2011_18_2_a4 ER -
O. A. Dunaeva. Principles of constructing layered neural networks based on pulse neurons. Modelirovanie i analiz informacionnyh sistem, Tome 18 (2011) no. 2, pp. 65-76. http://geodesic.mathdoc.fr/item/MAIS_2011_18_2_a4/