Presentation 1998/10/21
The analysis of refreshing systems in optical neural networks with photorefractive crystals
Yusuke OKU, Atsushi OKAMOTO, Yoshihisa TAKAYAMA,
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Abstract(in English) We report theoretical and expermental analysis of refreshing systems which are necessary for optical neural networks with photorefractive crystals. In the theoretical analysis, first, we show that refreshing systems are effective for sustaining holograms. And we reveal the properties of output beam intensity of the system for a pair of Cat mirrors reflectivities. These Cat Mirrors have an effect on sustenance and amplification of holograms. Then, we consider the optimum conditions to realize refreshing systems. Next, we examine the properties of beam intensity of output from the refreshing system for writing and reading beams intensities. In the end, we prove our theoretical analysis by experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) refreshing system / photorefractive crystals / Cat mirror
Paper # LQE98-80
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Committee LQE
Conference Date 1998/10/21(1days)
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Registration To Lasers and Quantum Electronics (LQE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The analysis of refreshing systems in optical neural networks with photorefractive crystals
Sub Title (in English)
Keyword(1) refreshing system
Keyword(2) photorefractive crystals
Keyword(3) Cat mirror
1st Author's Name Yusuke OKU
1st Author's Affiliation Faculty of Engineering, Hokkaido Univerisity()
2nd Author's Name Atsushi OKAMOTO
2nd Author's Affiliation Faculty of Engineering, Hokkaido Univerisity
3rd Author's Name Yoshihisa TAKAYAMA
3rd Author's Affiliation Faculty of Engineering, Hokkaido Univerisity
Date 1998/10/21
Paper # LQE98-80
Volume (vol) vol.98
Number (no) 342
Page pp.pp.-
#Pages 6
Date of Issue