Optical pattern recognition based on hybrid interpattern associative neural network Article

Cheng, H, Liu, L, Li, G et al. (1998). Optical pattern recognition based on hybrid interpattern associative neural network . Guangxue Xuebao/Acta Optica Sinica, 18(10), 1311-1316.

cited authors

  • Cheng, H; Liu, L; Li, G; Zhou, C

abstract

  • By combining autoassociation and heteroassociation, an optical pattern recognition (OPR) system based on hybrid interpattern associative neural network is proposed. In this neural network, the input vector not only addresses itself by autoassociation but also addresses its mated vector by heteroassociation, so the correct addressing probability is increased. Compared with the matched spatial filter OPR system, the addressing results are direct, and this scheme is feasible and promising.

authors

publication date

  • December 1, 1998

published in

start page

  • 1311

end page

  • 1316

volume

  • 18

issue

  • 10