AN INCOHERENT OPTOELECTRONIC HYBRID NEURAL NETWORK FOR FAST RECOGNITION OF MULTIPLEX 3-D TARGETS
用于多个三维目标快速识别的非相干光电混合神经网络系统

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.