Shift-invariant interpattern association neural network

Chii Maw Uang; Shizhuo Yin; P. Andres; Wade Reeser; Francis T.S. Yu

doi:10.1364/AO.33.002147

Shift-invariant interpattern association neural network

Chii Maw Uang
, Shizhuo Yin
, P. Andres
, Wade Reeser
, Francis T.S. Yu

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.

Original language	English (US)
Pages (from-to)	2147-2151
Number of pages	5
Journal	Applied optics
Volume	33
Issue number	11
DOIs	https://doi.org/10.1364/AO.33.002147
State	Published - Apr 10 1994

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Electrical and Electronic Engineering

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10.1364/AO.33.002147

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@article{d673fee8cc4e44d2840c860042e45669,

title = "Shift-invariant interpattern association neural network",

abstract = "A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.",

author = "Uang, \{Chii Maw\} and Shizhuo Yin and P. Andres and Wade Reeser and Yu, \{Francis T.S.\}",

year = "1994",

month = apr,

day = "10",

doi = "10.1364/AO.33.002147",

language = "English (US)",

volume = "33",

pages = "2147--2151",

journal = "Applied optics",

issn = "1559-128X",

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AU - Uang, Chii Maw

AU - Yin, Shizhuo

AU - Andres, P.

AU - Reeser, Wade

AU - Yu, Francis T.S.

PY - 1994/4/10

Y1 - 1994/4/10

N2 - A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.

AB - A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.

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UR - https://www.scopus.com/pages/publications/0028407266#tab=citedBy

U2 - 10.1364/AO.33.002147

DO - 10.1364/AO.33.002147

M3 - Article

AN - SCOPUS:0028407266

SN - 1559-128X

VL - 33

SP - 2147

EP - 2151

JO - Applied optics

JF - Applied optics

IS - 11

ER -

Shift-invariant interpattern association neural network

Abstract

All Science Journal Classification (ASJC) codes

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