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

Graduate Institute of Electro-Optical Science And Technology

Research output: Contribution to journal › Article

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

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ASJC Scopus subject areas

Engineering(all)
Physics and Astronomy(all)

Cite this

Yuh, K., & Cheng, C. J. (1994). Trainable pattern classifier using a computer-generated hologram. Japanese Journal of Applied Physics, 33(4R), 1910-1913. https://doi.org/10.1143/JJAP.33.1910

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Access to Document

10.1143/JJAP.33.1910