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
|Deposited By:||Mr Instrumentasi MIPA|
|Deposited On:||01 Mar 2017 09:14|
|Last Modified:||01 Mar 2017 09:14|
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