No. 12, 2012

1. Научная школа «Нейроматематика, модулярные нейрокомпьютеры и высокопроизводительные вычисления pp. 3

К читателю

1. От редактора выпуска Н.И. Червяков pp. 5

Theory of Neural Networks

1. Public-key cryptography based on multilayer neural networks N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova pp. 6-10
2. Application of neural networks to assess the quality of the hash function N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova pp. 11-17
3. Features of the neural network of public key-cryptography N.I. Chervyakov, A.A. Yevdokimov, E.V. Maslennikova pp. 18-22

Neuromathematics and Intellectual Computations

1. Construction of a random number generator based on XTR cryptosystem using the approximate method N.I. Chervyakov, M.G. Babenko, N.F. Semenova pp. 23-26
2. Review of methods of determining positional characteristics in the residue number system N.I. Chervyakov, M.G. Babenko, P.A. Lyakhov pp. 27-30
3. The use of the approximate method for implementation of secret sharing schemes for elliptic curve N.I. Chervyakov, M.G. Babenko, P.A. Lyakhov pp. 31-35
4. Construction of neural networks for classification of points of linear planes complexes of A5 and A6 types A.N. Makoha, T.E. Tyshlyar pp. 36-39

Neurocomputers in Information and Expert Systems

1. 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 pp. 40-46
2. 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 pp. 47-50
3. 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 pp. 51-55
4. The sign detection method in the residue number system based on approximate calculations N.I. Chervyakov, P.A. Lyakhov pp. 56-64
5. Using Markov processes for modeling various systems O.V. Babchenko pp. 65-68

Outlook of Neurocomputers Application

1. Neurcomputers in 2012: New Paradigm A.V. Chechkin, A.V. Savelyev pp. 69-76

Список статей, опубликованных в журнале «Нейрокомпьютеры: обработка, применение в 2012 году

1. Список статей, опубликованных в журнале «Нейрокомпьютеры: обработка, применение в 2012 году pp. 77-80