Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems

Author:

Talalaev A. A.,Tishenko I. P.,Fralenko V. P.,Khachumov V. M.

Publisher

Allerton Press

Subject

General Computer Science

Reference9 articles.

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2. Vinogradov, A.N., Kalugin, F.V., Nedev, M.D., Pogodin, S.V., Talalaev, A.A., Tishchenko, I.P., Fralenko, V.P., and Khachumov, V.M., Separation and Recognition of Local Objects in Aerospace Photos, Aviakosm. Pribor., 2007, no. 9, pp. 39–45.

3. Khachumov, V.M. and Vinogradov, A.N., Development of Novel Methods of Continuous Identification and Prediction of the State of Dynamic Objects on the Basis of Intellectual Data Analysis, Sb. dokladov 13-oi Vserossiiskoi konferentsii “Matematicheskie metody raspoznavaniya (Leningradskaya obl., g. Zelenogorek, 30-sentyabrya-6 oktyabrya, 2007 g) (Proc. 13th All-Russia Conf. “Mathematical Recognition Methods”), Moscow: MAKS Press, 2007.

4. Glazunov, A., Komp’yuternoe raspoznavanie chelovecheskikh lits, (Computer Recognition of Human Faces), Available from: http://www.osr.ru/os , 2000/03/177945/

5. Rusyn, B.P., Strukturno-lingvisticheskie metody raspoznavaniya izobrazhenii v real’nom vremeni (Structual Linguistic Real-Time Image Recognition Methods), Kiev: Naukova dumka, 1986.

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