Journals
Books
Articles by keyword функция активации
Modeling of neural networks for time series prediction
A.N. Kolesenkov - Ph. D. (Eng.), Associate Professor, RGRTU. E-mail: kolesenkov.a.n@rsreu.ru Y.V. Konkin - Ph. D. (Eng.), Associate Professor, RGRTU. E-mail: konkin.j.v@evm.rsreu.ru
Analysis of the deep neural networks characteristics in the context of digits recognition task
Y.S. Fedorenko - Post-graduate Student, Department «Information Processing and Control Systems», Bauman Moscow State Technical University E-mail: Fedyura1992@yandex.ru Yu.E. Gapanyuk - Ph.D. (Eng.), Associate Professor, Department «Information Processing and Control Systems», Bauman Moscow State Technical University E-mail: gapyu@bmstu.ru
Construction of neural networks of various types using parabolic integrodifferential splines as activation functions

T.K. Biryukova – Ph.D.(Phys.-Math.), Senior Research Scientist, SPIN-code: 4318-5250 

Signal processing algorithm for neural networks with integrodifferential splines as an activation function and its particular case of image classification

T.K. Biryukova

FRC «Computer Science and Control» of RAS (Moscow, Russia)

Study of the neural controller in the linear motor control system

T. S. Legotkina – Ph.D. (Eng.), Associate Professor, Department of Automatics and Telemechanics, Perm National Research Polytechnic University

E-mail: Luda@at.pstu.ru

V. S. Nikulin – Undergraduate Student, Department of Automatics and Telemechanics, Perm National Research Polytechnic University

E-mail: kalif23@yandex.ru

V. S. Bogatyrev – Undergraduate Student, Department of Automatics and Telemechanics, Perm National Research Polytechnic University

E-mail: bogatyrev.vlad@gmail.com

Application of an artificial neural network for recognition of radio signals by aircraft receivers

M. E. Ivanov1

1 Saint-Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

1 sindbad1995@list.ru