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

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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Detalles Bibliográficos
Publicado en:IEEE Transactions on computer-aided design of integrated circuits and systems 22, 2 (2003).
Autor Principal: Wolfe, G.
Formato: Artigo
Idioma:English
Subjects:
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.