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。
The storage of neural network weight is an important problem of VLSI implementation to be solved.
清醒时，大脑在它的环境中不断增加新的信息，在不断增厚的神经网络中形成新的集成电路和新的联系。
During waking hours, the brain keeps adding new information about its environment, forming new circuits and new connections in an ever thickening neural network.
神经网络的超大规模集成电路(VLSI)实现是发挥其优势的有效途径。
The VLSI implementation of neural networks is an effective approach to facilitate its use.
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