No. 3, 2012

От редактора выпуска

1. Предисловие редактора В.И. Волчихин pp. 3-6

НАУЧНАЯ ШКОЛА: Исследование и разработка интеллектуальных устройств управления средствами поражения и систем обнаружения, классификации и идентификации объектов

1. О научной школе pp. 7-8
2. The package of national standards, ensuring biometric and neural network protection of mass circulated personal data privacy I.G. Nazarov, O.V. Efimov, Y.K. Yazov pp. 9-17
3. Approximation of binomial dependent law by the compositions of normal, uniform, and arc sine distributions of values B.S. Akhmetov, D.N. Nadeev, I.V. Urnev, I.V. Serikov pp. 17-21
4. Rating of «nano» and «pico» probabilities of rare events of biometric authentication on small test samples V.A. Funtikov pp. 21-26
5. Correlation method for rapid assessment of the current value of the Hurst exponent for biometric data and market data A.I. Ivanov, Y.Y. Egorovа pp. 26-30
6. Evaluation of the ordinary and weighted Hamming metrics application efficiency when ordering the natural biometric image bases D.Yu. Andreev pp. 31-35
7. Entropic-correlation estimation of hash properties of the neural network converter «biometrics-access code A.I. Ivanov, A.V. Mayorov, Yu.K. Yazov pp. 35-40
8. Modeling of long biometric codes, reproducing correlation of neural network converter output data B.S. Akhmetov, V.I. Volchikhin, S.V. Kulikov, E.A. Malygina pp. 40-43
9. Neural network voice coder-archiver that stores biometric voice features of a user at a high level of hiss sounds compression A.I. Ivanov, A.N. Halmetova, O.S. Zakharov, A.A. Rybolovlev, A.P. Ryzhkov pp. 44-49
10. Testing features of the means of biometric neural network authentication of users in the telecommunication system of the Ministry of Education and Science of the Russian Federation V.I. Volchikhin, I.I. Artemov, V.S. Bezyaev, A.Yu. Malygin pp. 49-52
11. Neural network biometrics - to-self-correcting code converter without redundancy A.V. Bezyaev pp. 52-56
12. Integration of «heavy tails» of an abnormal law of biometric parameters of all «Foes» distribution during the configuration of the nonlinear neuron element with several discrete states S.V. Kulikov, M.V. Secretov, O.S. Zakharov, A.I. Ivanov, A.V. Mayorov pp. 56-60
13. Neural network classifier of fingerprint image papillary pattern types M.V. Secretov, V.I. Volchikhin, V.S. Bezyaev pp. 60-64
14. Entropy quality estimation of a neural network converter «biometrics-code» parameter A.V. Mayorov, S.V. Kulikov pp. 65-70
15. Biometric neural network depersonalization when primarily anonymously addressing a medical clinic A.A. Bukhanik, S.B. Rybalkin, M.V. Secretov pp. 70-73
16. Connection between the entropy of neural network converters «biometrics-code» output states and the pair correlation coefficients D.N. Nadeev, V.A. Funtikov, A.I. Ivanov pp. 74-77