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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v72.i3.70
pages 247-254

COLLECTIVE NEURAL NETWORK ALGORITHM FOR IMAGE RECOGNITION

A. E. Prasolova
Kursk State University, Kursk, Russian Federation

RÉSUMÉ

The article gives a comparative analysis of image recognition quality indices by means of statisical, deterministic, and neural network algorithms. A collective neural network algorithm for image recognition is proposed. The results of a computational experiment for recognition of complex images, with a high similarity measure, are presented.

RÉFÉRENCES

  1. Fomin, Ya. A. and Tarlovskii, G. R. , Statistical Theory of Image Recognition.

  2. Galushkin, A. I. , Neurocomputers. Book 3: Manual for Higher Educational Institutions.

  3. Kohonen, T. , Self-Organization and Associative Memory.

  4. Korotkii, S. , Hopfield and Hamming Neural Networks.

  5. Novikova, N. M. and Prasolova, A. E. , Recognition of complex images by neural network and statistically optimal algorithms.

  6. Tikhonov, V. I. and Kharisov, V. V. , Statistical Analysis and Synthesis of Radio Engineering Devices and Systems.

  7. Wasserman, P. , Neural Computing: Theory and Practice.


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