Photothermoplastic-based correlator using neural training algorithm for pattern recognition

Boris S. Kiselyov; B. A. Novoselov; D. E. Okonov

doi:10.1117/12.195621

7 December 1994 Photothermoplastic-based correlator using neural training algorithm for pattern recognition

Boris S. Kiselyov, B. A. Novoselov, D. E. Okonov

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195621
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

Abstract

A multichannel correlator based on photothermoplastic is presented in the paper. A one-layer neural network algorithm is realized for pattern recognition. Photothermoplastic holograms efficiency correction is investigated. Neural net learning process is realized using the filters efficiency adjustment. Recognition of the 5 images by 6 recorded feature patterns is shown.

Citation Download Citation

Boris S. Kiselyov, B. A. Novoselov, and D. E. Okonov "Photothermoplastic-based correlator using neural training algorithm for pattern recognition", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195621

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