一种可编程细胞神经网络电路

Michel Leong, Pedro Vasconcelos, J. Fernandes, L. Sousa
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引用次数: 4

摘要

在本文中,我们提出并开发了一个完全可编程的CNN电路。CNN系数使用数模转换器(DAC)进行数字可编程,从而增加了灵活性。设计和测试了4/spl倍/4和16/spl倍/16单元的cnn,与Matlab和Java应用程序计算cnn相比,具有良好的精度。所有电路均采用0.35 /spl mu/m CMOS技术设计和实现。使用节奏设计框架II设计了一个完整的4/spl times/4 CNN的布局。用Pspice/Spectre对电路进行了仿真。
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A programmable cellular neural network circuit
In this paper, we propose and develop a fully programmable CNN circuit. The CNN coefficients are digitally programmable using a digital to analog converter (DAC), resulting in added flexibility. CNNs with 4/spl times/4 and 16/spl times/16 cells are designed and tested, exhibiting good accuracy when compared with Matlab and Java applications for computing CNNs. All circuits are designed and implemented with a 0.35 /spl mu/m CMOS technology. The layout of a full 4/spl times/4 CNN was designed using cadence design framework II. The circuits are simulated with Pspice/Spectre.
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