Journal Neurocomputers №12 for 2012 year
Н.И. Червяков - основатель научной школы, д.т.н., профессор, засл. деятель науки и техники Российской Федерации, академик Международной академии информатизации
5
Theory of Neural Networks
Public-key cryptography based on multilayer neural networks
N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova
6-10
Application of neural networks to assess the quality of the hash function
N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova
11-17
Features of the neural network of public key-cryptography
N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova
18-22
Neuromathematics and Intellectual Computations
Construction of a random number generator based on XTR cryptosystem using the approximate method
N.I. Chervyakov, M.G. Babenko, N.F. Semenova
23-26
Review of methods of determining positional characteristics in the residue number system
N.I. Chervyakov, M.G. Babenko, P.A. Lyakhov
27-30
The use of the approximate method for implementation of secret sharing schemes for elliptic curve
N.I. Chervyakov, M.G. Babenko, P.A. Lyakhov
31-35
Construction of neural networks for classification of points of linear planes complexes of A5 and A6 types
A.N. Makoha, T.E. Tyshlyar
36-39
Neurocomputers in Information and Expert Systems
An approximate method for determining the positional characteristics of residue number and its application for non-modular procedures in the residue number system
N.I. Chervyakov, M.G. Babenko, P.A. Lyakhov, L.B. Kopytkova, I.N. Lavrinenko
40-46
Effective methods of calculation of item characteristics of the modular code constructed on the basis of integer algebra
I.N. Lavrinenko, M.A. Fedorova, O.D. Rojenko, A.V. Gladkov
47-50
Creation of a direct method for solving systems of linear algebraic equations with almost triangular matrix on the basis of ascending chain fractions
P.K. Korneev, A.V. Gladkov
51-55
The sign detection method in the residue number system based on approximate calculations
N.I. Chervyakov, P.A. Lyakhov
56-64
Using Markov processes for modeling various systems
O.V. Babchenko
65-68
Outlook of Neurocomputers Application
Neurcomputers in 2012: New Paradigm
A.V. Chechkin, A.V. Savelyev
69-76
77-80