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Proceedings Paper

Neural network algorithms for data processing in an adaptive optical system for wavefront correction
Author(s): Andrei B. Utkin
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Paper Abstract

The possibility of application of a neural network to data processing in an adaptive optical system is investigated. In case of a linear input/output transformation, the simple two-layer feedforward neuron structure is shown to be a good choice for heteroassociative reconstruction of the driving signals from the current data on the phase distribution. Several learning algorithms for the neural net are presented and the opportunity to construct the training set with the help of experiment is discussed.

Paper Details

Date Published: 10 August 1994
PDF: 8 pages
Proc. SPIE 2096, Lasers in Optical Systems and Devices, (10 August 1994); doi: 10.1117/12.183120
Show Author Affiliations
Andrei B. Utkin, S.I. Vavilov State Optical Institute (Russia)

Published in SPIE Proceedings Vol. 2096:
Lasers in Optical Systems and Devices
Artur A. Mak, Editor(s)

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