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首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Neuro-Space Mapping-Based DC Modeling for 130-nm MOSFET
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Neuro-Space Mapping-Based DC Modeling for 130-nm MOSFET

机译:基于神经空间映射的130nm MOSFET直流建模

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摘要

In this article, two approaches for modeling DC characteristics for MOSFET based on neuro-space mapping (SM) are proposed. The first approach makes use of classical neuro-SM technology, while the second combines neuro-SM with prior knowledge input and source difference method. The formulas for obtaining the transconductance and output conductance in two approaches are derived. The I - V characteristics as well as their conductances obtained by the formulas in two approaches are compared to the measured data. Experimental results, which confirm the validity of our approaches, are also presented.
机译:本文提出了两种基于神经空间映射(SM)的MOSFET直流特性建模方法。第一种方法利用经典的神经SM技术,而第二种方法则将神经SM与先验知识输入和源差异方法相结合。推导了两种方法获得跨导和输出电导的公式。将通过两种方法的公式获得的I-V特性及其电导与测量数据进行比较。实验结果也证实了我们方法的有效性。

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  • 作者单位

    School of Information Science and Technology, East China Normal University, Shanghai 200241, People's Republic of China;

    School of Information Science and Technology, East China Normal University, Shanghai 200241, People's Republic of China;

    School of Information Science and Technology, East China Normal University, Shanghai 200241, People's Republic of China Department of Electronic Engineering, Huaihai Institute of Technology, Lianyungang, Jiangsu, People's Republic of China;

    School of Information Science and Technology, East China Normal University, Shanghai 200241, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    neural network; space mapping; MOSFET; device modeling; parameter extraction;

    机译:神经网络;空间映射;MOSFET;设备建模;参数提取;

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