Trainable pattern classifier using a computer-generated hologram

Ken Yuh; Chau Jern Cheng

doi:10.1143/JJAP.33.1910

Trainable pattern classifier using a computer-generated hologram

Ken Yuh
, Chau Jern Cheng

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

Abstract

A novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.

Original language	English
Pages (from-to)	1910-1913
Number of pages	4
Journal	Japanese Journal of Applied Physics
Volume	33
Issue number	4R
DOIs	https://doi.org/10.1143/JJAP.33.1910
Publication status	Published - 1994 Apr
Externally published	Yes

ASJC Scopus subject areas

General Engineering
General Physics and Astronomy

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10.1143/JJAP.33.1910

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title = "Trainable pattern classifier using a computer-generated hologram",

abstract = "A novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.",

author = "Ken Yuh and Cheng, \{Chau Jern\}",

year = "1994",

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AB - A novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.

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Trainable pattern classifier using a computer-generated hologram

Abstract

ASJC Scopus subject areas

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