A unipolar shift-invariant associative hamming net

Francis T.S. Yu; Guowen Lu; Chii Maw Uang; Shizhuo Yin; Zhongkong Wu

doi:10.1117/12.169435

A unipolar shift-invariant associative hamming net

Francis T.S. Yu
, Guowen Lu
, Chii Maw Uang
, Shizhuo Yin
, Zhongkong Wu

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Aunipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a threelayer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix (IWM), the second layer is a winner-Take-All layer, and the last layer is a memory-mapping layer. In experiment, a hybrid optical architecture using photorefractive holograms is proposed.

Original language	English (US)
Pages (from-to)	294-301
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2237
DOIs	https://doi.org/10.1117/12.169435
State	Published - Mar 1 1994
Event	Optical Pattern Recognition V 1994 - Orlando, United States Duration: Apr 4 1994 → Apr 8 1994

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.169435

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title = "A unipolar shift-invariant associative hamming net",

abstract = "Aunipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a threelayer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix (IWM), the second layer is a winner-Take-All layer, and the last layer is a memory-mapping layer. In experiment, a hybrid optical architecture using photorefractive holograms is proposed.",

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AU - Yu, Francis T.S.

AU - Lu, Guowen

AU - Uang, Chii Maw

AU - Yin, Shizhuo

AU - Wu, Zhongkong

PY - 1994/3/1

Y1 - 1994/3/1

N2 - Aunipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a threelayer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix (IWM), the second layer is a winner-Take-All layer, and the last layer is a memory-mapping layer. In experiment, a hybrid optical architecture using photorefractive holograms is proposed.

AB - Aunipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a threelayer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix (IWM), the second layer is a winner-Take-All layer, and the last layer is a memory-mapping layer. In experiment, a hybrid optical architecture using photorefractive holograms is proposed.

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U2 - 10.1117/12.169435

DO - 10.1117/12.169435

M3 - Conference article

AN - SCOPUS:85076801593

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Pattern Recognition V 1994

Y2 - 4 April 1994 through 8 April 1994

ER -

A unipolar shift-invariant associative hamming net

Abstract

All Science Journal Classification (ASJC) codes

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