AN INCOHERENT OPTOELECTRONIC HYBRID NEURAL NETWORK FOR FAST RECOGNITION OF MULTIPLEX 3-D TARGETS
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O438

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    Abstract:

    A fast incoherent optoelectronic hybrid neural network systenl is reported for pattern recognition of multiplex 3-D objects with error tolerance. In the first network, the positive and negative interconnections and parallel processing are used. A white-light source is used to replace He-Ne laser and a TFT liquid crystal display (LCD) panel is used as a real-time input device. In this system,coherent noise is eliminated, moreover,fast recognition and smaller size are realized.

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Sun Ying, Li Qing, Zhang Yanxin, Mu Guoguang. AN INCOHERENT OPTOELECTRONIC HYBRID NEURAL NETWORK FOR FAST RECOGNITION OF MULTIPLEX 3-D TARGETS[J]. Journal of Infrared and Millimeter Waves,1995,14(1):47~51

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