Neural network models for efficient GaAs MESFET time domain nonlinear circuit analysis

被引：0

作者：

Silva, PHD ^{[1
]}

de Melo, MAB ^{[1
]}

Neto, ADD ^{[1
]}

机构：

[1] UFPB, CCT, Dept Engn Eletr, BR-58109970 Campina Grande, PB, Brazil

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the applications of multilayer perceptrons for GaAs device and integrated circuit modeling, that were proposed to improve circuit simulation programs like SPICE. The obtained results by the MESFET logic gate circuit simulations prove the validation of neural models applicability for the time domain nonlinear circuit transient and sensitivity analyses.

引用

页码：2282 / 2287

页数：2

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