Artificial Intelligence Techniques for SPICE Optimization of MOSFET Modeling

被引：0
|
作者：
Suseno, Jatmiko E.
Riyadi, Munawar A.
Alias, Nurul Ezaila
Heong, Yau Wei
Ismail, Razali
机构：
来源：
2009 CONFERENCE ON INNOVATIVE TECHNOLOGIES IN INTELLIGENT SYSTEMS AND INDUSTRIAL APPLICATIONS | 2009年
关键词：
DESIGN;
D O I：
10.1109/CITISIA.2009.5224238
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes new method for optimize and verified electric characterization graph of MOSFET by using artificial neural network. Optimization using Neural Network (ONN) will compare current-voltage (I-V) Characteristic graph between the TCAD simulation and TSPICE modeling as desire data control a model parameter of BSIM. In this paper, the neural network method is dynamic feedforward Neural Network After NN training, the best result is at Neural Network architecture of 36-30-10-5 with Mean Squared Error (MSE) of 1e-28 at epoch of 5.
引用
收藏
页码：76 / 80
页数：5
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