Modeling the D/A interface for mixed-mode behavioral simulation

Artificial neural networks (ANNs) are applied for modeling the output circuits of the digital part of the analog/digital interface in CMOS mixed-mode circuits. The generalization property of the neural networks is exploited to apply the models in a set of previously unknown situations, the most impo...

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Bibliographic Details
Main Authors: Litovski, V.B., Andrejevic, M.V., Damper, R.I.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Circuit simulation
Computational modeling
Impedance
Integrated circuit modeling
Inverters
Load modeling
Neural networks
Semiconductor device modeling
Voltage
Online Access:Request full text
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Summary:Artificial neural networks (ANNs) are applied for modeling the output circuits of the digital part of the analog/digital interface in CMOS mixed-mode circuits. The generalization property of the neural networks is exploited to apply the models in a set of previously unknown situations, the most important being loading the model generated from unloaded circuit. The models developed are applicable in a mixed-signal behavioral simulation environment.
DOI:10.1109/EURCON.2003.1247994