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10 August 1994 Neural network algorithms for data processing in an adaptive optical system for wavefront correction
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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