Standard

General properties of realistic neural network dynamics. / Mardanov, K.; Pis'mak, Yu; Potyagailo, A.

в: Computers and Mathematics with Applications, Том 34, № 7-8, 01.10.1997, стр. 657-666.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Mardanov, K, Pis'mak, Y & Potyagailo, A 1997, 'General properties of realistic neural network dynamics', Computers and Mathematics with Applications, Том. 34, № 7-8, стр. 657-666.

APA

Mardanov, K., Pis'mak, Y., & Potyagailo, A. (1997). General properties of realistic neural network dynamics. Computers and Mathematics with Applications, 34(7-8), 657-666.

Vancouver

Mardanov K, Pis'mak Y, Potyagailo A. General properties of realistic neural network dynamics. Computers and Mathematics with Applications. 1997 Окт. 1;34(7-8):657-666.

Author

Mardanov, K. ; Pis'mak, Yu ; Potyagailo, A. / General properties of realistic neural network dynamics. в: Computers and Mathematics with Applications. 1997 ; Том 34, № 7-8. стр. 657-666.

BibTeX

@article{385de6fa57ec4bc89328d0dfb1a70d0b,
title = "General properties of realistic neural network dynamics",
abstract = "The role of symmetry in the dynamics of the Realistic Neural Network model is studied. The phase diagram for Symmetric Realistic Neural Network with an external input of the constrained in time action is constructed. The oscillation regimes are investigated. For RNN of general form, the mean-field approximation is obtained.",
keywords = "Mean-field approximation, Neural networks",
author = "K. Mardanov and Yu Pis'mak and A. Potyagailo",
year = "1997",
month = oct,
day = "1",
language = "English",
volume = "34",
pages = "657--666",
journal = "Computers and Mathematics with Applications",
issn = "0898-1221",
publisher = "Elsevier",
number = "7-8",

}

RIS

TY - JOUR

T1 - General properties of realistic neural network dynamics

AU - Mardanov, K.

AU - Pis'mak, Yu

AU - Potyagailo, A.

PY - 1997/10/1

Y1 - 1997/10/1

N2 - The role of symmetry in the dynamics of the Realistic Neural Network model is studied. The phase diagram for Symmetric Realistic Neural Network with an external input of the constrained in time action is constructed. The oscillation regimes are investigated. For RNN of general form, the mean-field approximation is obtained.

AB - The role of symmetry in the dynamics of the Realistic Neural Network model is studied. The phase diagram for Symmetric Realistic Neural Network with an external input of the constrained in time action is constructed. The oscillation regimes are investigated. For RNN of general form, the mean-field approximation is obtained.

KW - Mean-field approximation

KW - Neural networks

UR - http://www.scopus.com/inward/record.url?scp=0031245793&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031245793

VL - 34

SP - 657

EP - 666

JO - Computers and Mathematics with Applications

JF - Computers and Mathematics with Applications

SN - 0898-1221

IS - 7-8

ER -

ID: 41387965