Low-power CMOS circuits for analog VLSI programmable neural networks

M. El-Soud, R. Abdelrassoul, H. Soliman, L. El-ghanam
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引用次数: 4

Abstract

This paper presents an analog VLSI neural network for designing a programmable neural system. Synaptic weights are designed in the triode region using four-MOS transistors. Moreover, the summing element (SE) and the activation function are designed in subthreshold region. This system is realized in a standard 0.8 /spl mu/m CMOS technology and operated with a /spl plusmn/1V power supply.
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用于模拟VLSI可编程神经网络的低功耗CMOS电路
本文提出了一种用于设计可编程神经系统的模拟VLSI神经网络。在三极管区域使用四个mos晶体管设计突触权重。在阈下区域设计了和元和激活函数。本系统采用标准的0.8 /spl μ m CMOS工艺,采用1 /spl plusmn/1V电源运行。
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