The physical implementation of neural network follows delays of feedback signal and the application of network requires the study of the stability.
神经网络的硬件实现常伴随反馈信号的延时，网络的应用需要对具有时滞反馈网络稳定性的充分研究。
The simulation result shows that it can function correctly with fast recognition speed; therefore, it is suitable for VLSI implementation of neural network.
模拟结果表明其功能正确，具有较高的识别速度，适于神经网络的VLSI实现。
The storage of neural network weight is an important problem of VLSI implementation to be solved.
神经网络的权值存储是集成电路实现技术中涵待解决的重要问题。
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