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加利福尼亚技术研究所的电气工程师利用记录在掺铁铌酸钾(LiNbO_3)中的角多路传输全息图建立并测试了一种用以识别面孔的光学神经网络。经过用视频图象进行的训练之后,这种神经网络系统
Electrical engineers at the California Institute of Technology built and tested an optical neural network used to identify faces using angle multiplexed holograms recorded in potassium iron niobate (LiNbO_3). After training with video images, this neural network system