Optical neural networks using volume holograms

by Gu, Claire Xiang-Guang

Abstract (Summary)
The optical implementation of neural networks utilizing volume holograms is investigated. The intrinsic degeneracy effect that limits the number of independent interconnections are identified and analyzed by applying the K-space analysis. Basic relationships between the number of neurons, the number of interconnections and the size of the optical system that is used to implement the neural network are derived. Systematic methods for selecting the positions of the neurons to achieve the maximum number of independent interconnections are described. Experiments of global and local connectivities accomplished by using fractal sampling grids for eliminating the degenerate interconnections are presented. The degrees of freedom of the volume hologram and of the planar hologram are compared.
Bibliographical Information:

Advisor:Demetri Psaltis

School:California Institute of Technology

School Location:USA - California

Source Type:Master's Thesis



Date of Publication:09/19/1989

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