Artificial intelligence techniques for SPICE optimization of MOSFET modeling
Jatmiko Endro Suseno, Munawar Agus Riyadi, Nurul Ezaila Alias, Yau Wei Heong, Razali Ismail · 2009
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.