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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