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Proceedings Paper

Neural network for invariant recognition of a few image classes
Author(s): Alexandr N. Oparin; Irina V. Plekhanova; Nickolay G. Soloviov
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Paper Abstract

A neural network (NN) for recognition of a few image classes is considered. The method of recognition in the initial and transformed space of the features, where the training set is based on dispersion analysis, is investigated. Simulation results of the recognition process by type (alpha) NN are presented for the images of objects in the initial and transformed space of the features.

Paper Details

Date Published: 1 April 1998
PDF: 5 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304961
Show Author Affiliations
Alexandr N. Oparin, Siberian Scientific Research Institute of Optical Systems (Russia)
Irina V. Plekhanova, Siberian Scientific Research Institute of Optical Systems (Russia)
Nickolay G. Soloviov, Siberian Scientific Research Institute of Optical Systems (Russia)


Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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