Trainable pattern classifier using a computer-generated hologram

研究成果: 雜誌貢獻文章

摘要

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.

原文英語
頁(從 - 到)1910-1913
頁數4
期刊Japanese Journal of Applied Physics
33
發行號4R
DOIs
出版狀態已發佈 - 1994 四月

指紋

Holograms
classifiers
Pattern recognition
Classifiers
self organizing systems
Optical systems
Learning algorithms
learning
education
computerized simulation
Neural networks
filters
Computer simulation
matrices
Experiments

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

引用此文

Trainable pattern classifier using a computer-generated hologram. / Yuh, Ken; Cheng, Chau Jern.

於: Japanese Journal of Applied Physics, 卷 33, 編號 4R, 04.1994, p. 1910-1913.

研究成果: 雜誌貢獻文章

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