E. Suseno, Jatmiko and A Riyadi, Munawar and Alias, Nurul Ezaila and Heong, Yau Wei and Ismail, Razali (2009) Artificial intelligence techniques for SPICE optimization of mosfet modeling. In: Proceeding of Conference on Innovative Technologies in Intelligent Systems & Industrial Applications, (CITISIA 2009), 2009, Monash University, Sunway Campus Malaysia.
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Official URL: https://conference.researchbib.com/view/event/544
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | CMOS technology, MOSFET model |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 14847 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 15 Sep 2011 02:42 |
| Last Modified: | 30 Jun 2020 08:39 |
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