基于脉冲密度调制的全数字神经网络实现

1989 Proceedings of the IEEE Custom Integrated Circuits Conference Pub Date : 1989-05-15 DOI:10.1109/CICC.1989.56744

J. Tomberg, T. Ritoniemi, K. Kaski, H. Tenhunen

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引用次数: 27

摘要

提出了一种基于脉冲密度调制技术的hopfield型全连接神经网络结构的有效实现，该结构采用全数字结构实现。突触的权重是可编程的，因此一个突触和整个网络的面积取决于权重的分辨率。该设计的优点是模块化和可扩展性

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Fully digital neural network implementation based on pulse density modulation

An efficient implementation of a Hopfield-type fully connected neural-network architecture is presented that is based on a pulse-density modulation technique implemented by using fully digital structures. The synaptic weights are programmable, and thus the area of one synapse and the entire network depends on the resolution of the weight. Advantages of the design are its modularity and expandability

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1989 Proceedings of the IEEE Custom Integrated Circuits Conference

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