@inproceedings{09a162cbe3a54244a83e43f2ae3af44c,
title = "Piecewise-linear modeling of analog circuits based on model extraction from trained neural networks",
abstract = "This paper presents a new technique for automatically creating analog circuit models. The method extracts piecewise linear models from trained neural networks. A model is a set of linear dependencies between circuit performance and design parameters. The paper illustrates the technique for an OTA circuit for which models for gain and bandwidth are generated. As experiments show, the obtained models have simple form that accurately fits the sampled points. These models are useful for fast simulation of systems with nonlinear behavior and performance.",
keywords = "Analog circuits, Analog computers, Circuit synthesis, Computer networks, Design engineering, Laboratories, Neural networks, Piecewise linear techniques, Predictive models, Very large scale integration",
author = "G. Gothoskar and A. Doboli and S. Doboli",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE International Workshop on Behavioral Modeling and Simulation, BMAS 2002 ; Conference date: 06-10-2002 Through 08-10-2002",
year = "2002",
doi = "10.1109/BMAS.2002.1291055",
language = "English",
series = "Proceedings of the IEEE International Workshop on Behavioral Modeling and Simulation, BMAS",
publisher = "IEEE Computer Society",
pages = "41--46",
booktitle = "BMAS 2002 - Proceedings of the 2002 IEEE International Workshop on Behavioral Modeling and Simulation",
}