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

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

ASJC Scopus subject areas

Engineering(all)
Physics and Astronomy(all)

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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}",

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