Artificial Neural Networks (ANN) are gaining attention in the semiconductor modeling area, as alternative to physical modeling of high speed devices. A fundamental issue when including ANN’s in a circuit simulator is how to manage the time dependency. One elegant solution recently proposed is the Dynamic Neural Network concept, where neurons are instances of differential equations. In this work the dynamic approach and further variations has been compared with classical static ANN, applied to the modeling of high performance bipolar junction transistor.
CITATION STYLE
Plebe, A., Marcello Anile, A., & Rinaudo, S. (2001). Neural networks in circuit simulators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 699–705). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_97
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