Neural network algorithms for data processing in an adaptive optical system for wavefront correction

Andrei B. Utkin

doi:10.1117/12.183120

10 August 1994 Neural network algorithms for data processing in an adaptive optical system for wavefront correction

Andrei B. Utkin

Proceedings Volume 2096, Lasers in Optical Systems and Devices; (1994) https://doi.org/10.1117/12.183120
Event: Laser Optics, 1993, St. Petersburg, Russian Federation

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.

Citation Download Citation

Andrei B. Utkin "Neural network algorithms for data processing in an adaptive optical system for wavefront correction", Proc. SPIE 2096, Lasers in Optical Systems and Devices, (10 August 1994); https://doi.org/10.1117/12.183120

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