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Abstract: In this paper, different types of artificial intelligence networks were compared in order to simulate the nonlinear behavior of nanoscale MOSFETs.
In this paper, different types of artificial intelligence networks were compared in order to simulate the nonlinear behavior of nanoscale MOSFETs.
Different types of artificial intelligence networks were compared in order to simulate the nonlinear behavior of nanoscale MOSFETs and optimized structures ...
Performance comparison of artificial intelligence networks in nanoscale MOSFET modeling. ICNC 2011: 807-810. [+][–]. Coauthor network. maximize. Note that this ...
1 Excerpt. Performance comparison of artificial intelligence networks in nanoscale MOSFET modeling · A. Nohoji M. Zamani · 2 Excerpts. Efficient Parameters ...
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What is a nanoscale MOSFET?
PDF | In this paper, the effect of network type in modeling I-V characteristic of MOS transistors was studied. Neural networks training data are.
In this sense, this work presents the applicability of the artificial neural networks (ANN) for the design and simulation of a nanoelectronic DG MOSFET current ...
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May 15, 2023 · A neural network prediction model for NMOFET device is proposed in this paper by using BP algorithm in machine learning technology and ...
In this work, we propose using deep neural network to improve the accuracy for the conventional, physics-based compact model for nanoscale transistors. Physics- ...
Feb 4, 2023 · In this work, we proposed a general framework to automatically derive analytical solutions for surface potential in MOSFET, by leveraging the ...