Proceedings of the Optical Society of Korea Conference (한국광학회:학술대회논문집)
- 1991.06a
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- Pages.35-40
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- 1991
TAG neural network model for large-sized optical implementation
대규모 광학적 구현을 위한 TAG 신경회로망 모델
Abstract
In this paper, a new adaptive learning algorithm, Training by Adaptive Gain (TAG) for optical implementation of large-sized neural networks has been developed and its electro-optical implementation for 2-dimensional input and output neurons has been demostrated. The 4-dimensional global fixed interconnections and 2-dimensional adaptive gain-controls are implemented by multi-facet computer generated holograms and LCTV spatial light modulators, respectively. When the input signals pass through optical system to the output classifying layer, the TAG adaptive learning algorithm is implemented by a personal computer. The system classifies three 5
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