Optical neural network: architecture, design, and models

Francis T. S. Yu

doi:10.1117/12.49645

11 November 1991 Optical neural network: architecture, design, and models

Francis T. S. Yu

Proceedings Volume 1558, Wave Propagation and Scattering in Varied Media II; (1991) https://doi.org/10.1117/12.49645
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

An adaptive optical neuro network using inexpensive pocket size liquid crystal televisions (LCTVs) was recently developed by graduate students in the Electro-Optics Laboratory at The Pennsylvania State University. Although this neuro-computing has only 8 X 8 equals 64 neurons, it can be easily extended to 16 X 20 equals 320 neurons. The major advantages of this LCTV architecture as compared wither other ONCs, are low cost and flexibility to operate. To test the performance, several neural net models are used. These models are interpattern association, hetero-association, and unsupervised learning algorithms. The system design considerations and experimental demonstrations are also included.

Citation Download Citation

Francis T. S. Yu "Optical neural network: architecture, design, and models", Proc. SPIE 1558, Wave Propagation and Scattering in Varied Media II, (11 November 1991); https://doi.org/10.1117/12.49645

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