目前光学图像识别主要有光学相关和光学神经网络两类实现方法。
At present there are two realization ways of optical image recognition: optical correlation and optical nerve network.
文章提出了一种平移、旋转及尺度不变光学神经网络识别系统方案。
A shift, rotation and scale invariant neural network is proposed in this paper.
提出了一种用于修正光学神经网络硬件系统误差的虚拟神经网络模型。
The optical experimental results show that the virtual network can efficiently correct the errors of hardware system.
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