Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
A virtual neural network model for correcting the errors of hardware system is proposed.
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。
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