Presentation 2012-01-27
Input Signal Characteristics in Optical Label Processing Using Complex-Valued Neural Network
Kengo MIZOTE, Hiroki KISHIKAWA, Nobuo GOTO, Shin-ichiro Yanagiya,
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Abstract(in English) Optical neural-network circuit to recognize BPSK labels for photonic label routing is proposed, which consists of optical amplifiers, phase shifters, and nonlinear threshold devices. Parameters in these devices are learned with back-propagation of teacher signals. The dependence of input signal characteristics in the optical label processing using neural-network circuit is investigated by computer simulation.
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Keyword(in English) Complex-valued neural network / Optical label recognition / Input signal characteristics
Paper # PN2011-73,OPE2011-189,LQE2011-175,EST2011-123,MWP2011-91
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Committee MWP
Conference Date 2012/1/19(1days)
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Registration To Microwave and Millimeter-wave Photonics (MWP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Input Signal Characteristics in Optical Label Processing Using Complex-Valued Neural Network
Sub Title (in English)
Keyword(1) Complex-valued neural network
Keyword(2) Optical label recognition
Keyword(3) Input signal characteristics
1st Author's Name Kengo MIZOTE
1st Author's Affiliation Department of Optical Science and Technology, The University of Tokushima()
2nd Author's Name Hiroki KISHIKAWA
2nd Author's Affiliation Department of Optical Science and Technology, The University of Tokushima
3rd Author's Name Nobuo GOTO
3rd Author's Affiliation Department of Optical Science and Technology, The University of Tokushima
4th Author's Name Shin-ichiro Yanagiya
4th Author's Affiliation Department of Optical Science and Technology, The University of Tokushima
Date 2012-01-27
Paper # PN2011-73,OPE2011-189,LQE2011-175,EST2011-123,MWP2011-91
Volume (vol) vol.111
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue