Principles of constructing layered neural networks based on pulse neurons
Modelirovanie i analiz informacionnyh sistem, Tome 18 (2011) no. 2, pp. 65-76

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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.
@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/}
}
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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/