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Optical Neural Networks Using Volume Holograms

Citation

Gu, Claire Xiang-Guang (1990) Optical Neural Networks Using Volume Holograms. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/HW3F-PK12. https://resolver.caltech.edu/CaltechETD:etd-06072007-105206

Abstract

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.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Physics
Degree Grantor:California Institute of Technology
Division:Physics, Mathematics and Astronomy
Major Option:Physics
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Psaltis, Demetri
Thesis Committee:
  • Unknown, Unknown
Defense Date:19 September 1989
Record Number:CaltechETD:etd-06072007-105206
Persistent URL:https://resolver.caltech.edu/CaltechETD:etd-06072007-105206
DOI:10.7907/HW3F-PK12
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:2506
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:21 Jun 2007
Last Modified:26 Nov 2019 22:57

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