TY - JOUR
T1 - Trainable pattern classifier using a computer-generated hologram
AU - Yuh, Ken
AU - Cheng, Chau Jern
PY - 1994/4
Y1 - 1994/4
N2 - 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.
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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U2 - 10.1143/JJAP.33.1910
DO - 10.1143/JJAP.33.1910
M3 - Article
AN - SCOPUS:0028422293
VL - 33
SP - 1910
EP - 1913
JO - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
JF - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
SN - 0021-4922
IS - 4R
ER -