A Frequency-Multiplexed Function-Approximation Coherent Neural Networks To Learn Phase Values by Use of Volume Hologram

Amornrat Limmanee; Sotaro Kawata; Akira Hirose

doi:10.1364/FIO.2005.FTuY5

Frontiers in Optics
OSA Technical Digest Series (Optica Publishing Group, 2005),
paper FTuY5
•https://doi.org/10.1364/FIO.2005.FTuY5

A Frequency-Multiplexed Function-Approximation Coherent Neural Networks To Learn Phase Values by Use of Volume Hologram

Amornrat Limmanee, Sotaro Kawata, and Akira Hirose

Frontiers in Optics 2005

Tucson, Arizona United States
16–21 October 2005
ISBN: 1-55752-797-0

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A. Limmanee, S. Kawata, and A. Hirose, "A Frequency-Multiplexed Function-Approximation Coherent Neural Networks To Learn Phase Values by Use of Volume Hologram," in Frontiers in Optics, OSA Technical Digest Series (Optica Publishing Group, 2005), paper FTuY5.

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Abstract

We propose a frequency-multiplexed function-approximation coherent neural network to learn optical phase values by use of volume hologram. Experiments demonstrate that desired phase values are obtained as the output of the coherent neural network system.

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