New compact neuron-bipolar cellular neural network structure with adjustable neighborhood layers and high integration level

Wen Cheng Yen*, Chung-Yu Wu

*此作品的通信作者

研究成果: Conference article同行評審

摘要

A new compact structure called the neuron-bipolar cellular neural network is proposed and analyzed. In the new structure, the parasitic PNP bipolar junction transistor in the CMOS process is used to implement the neuron whereas the coupling MOS resistor is used to realize the synapse weights among various neurons. It has the advantages of compact structure and small chip size. The neuron-bipolar CNN with single neighborhood layer r = 1 has been successfully applied to the noise removing operation on images. Moreover, the proposed neuron-bipolar CNN can easily realize the multi-layer neighborhood structure. Thus the proposed neuron-bipolar CNN has a great potential in the VLSI implementation of neural network.

原文English
期刊Proceedings - IEEE International Symposium on Circuits and Systems
6
DOIs
出版狀態Published - 1 一月 1999
事件Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99 - Orlando, FL, USA
持續時間: 30 五月 19992 六月 1999

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