Extraction and use of neural network models in automated synthesis of operational amplifiers.

Fast and accurate performance estimation methods are essential to automated synthesis of analog circuits. Development of analog performance models is difficult due to the highly nonlinear nature of various analog performance parameters. This paper presents a neural network-based methodology for crea...

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Библиографические подробности

Опубликовано в::	IEEE Transactions on computer-aided design of integrated circuits and systems 22, 2 (2003).
Главный автор:	Wolfe, G.
Формат:	Статья
Язык:	English
Предметы:	CMOS opamp topologies. SPICE simulations. Analog ICs. Analog circuits. Automated synthesis. Fitness function. Genetic algorithm-based circuit synthesis system. Genetic synthesis tool. Neural network models. Neural network-based methodology. Performance estimation methods. Performance parameters. User-specified performance constraints.