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连续时间点格神经网络的电流模式VLSI实现
引用本文:孟相如,虞厥邦.连续时间点格神经网络的电流模式VLSI实现[J].电子科技大学学报(社会科学版),1996(6).
作者姓名:孟相如  虞厥邦
作者单位:电子科技大学光电子技术系
摘    要:采用电流模式技术,通过将原电压域点格神经网络(CNN)模型直接映射到电流域,来进行连续时间CNN的VLSI设计。给出了基本积木块的实现电路,并进行了连通片检测方面的简单应用研究。计算机仿真与理论结果相吻合,所得电路结构简单,非常适合于用标准CMOS工艺集成,具有潜在的应用前景。

关 键 词:点格神经网络,电流模式电路,电路理论与设计,信号处理,集成电路

Current-Mode VLSI Implementation of Continuous-time Cellular Neural Networks
Meng Xiangru, Yu Juebang.Current-Mode VLSI Implementation of Continuous-time Cellular Neural Networks[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),1996(6).
Authors:Meng Xiangru  Yu Juebang
Abstract:The VLSI implementation of continuous-time cellular neural networks (CNNS) usingcurrent-mode techniques is presented in this by mapping directly the original CNN model from thevoltage domain into the current one. The circuit realization of basic building blocks is illustrated, and asimple application of the CNN in the connected component detection is discussed. Computer simulations agree well with the theory. The resulting circuits are simple and particularly suitable for integration with standardCMOS technology,thus will have a variety of potental application perspect.
Keywords:cellular  neural networks  current-mode circuits  circuit theory and design  signal processing  integrated circuits  
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