Artificial Intelligence Techniques for SPICE Optimization of MOSFET Modeling

Suseno, Jatmiko Endro and Riyadi, Munawar A. and Alias, Nurul Ezaila and Heong, Yau Wei and Ismail, Razali (2009) Artificial Intelligence Techniques for SPICE Optimization of MOSFET Modeling. In: 2009 CONFERENCE ON INNOVATIVE TECHNOLOGIES IN INTELLIGENT SYSTEMS & INDUSTRIAL APPLICATIONS.

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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)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QC Physics
Divisions:Faculty of Science and Mathematics > Diploma in Instrumentasi and Electronics
Faculty of Science and Mathematics > Department of Physics
ID Code:52070
Deposited By:Mr Instrumentasi MIPA
Deposited On:01 Mar 2017 09:14
Last Modified:01 Mar 2017 09:14

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