DATE '99 Proceedings of the conference on Design, automation and test in Europe
Modified Latin Hypercube Sampling Monte Carlo (MLHSMC) Estimation for Average Quality Index
Analog Integrated Circuits and Signal Processing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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This paper presents a fuzzy-logic based approach to circuit performance modeling. Starting from a set of input-output vectors obtained by simulation (the training set), an automatic process adapts model parameters by means of neurofuzzy techniques. The resulting model can accurately reproduce the training set, even for a moderate number of rules. The results obtained in several analog and digital examples, show that accurate models can be obtained with a simple, completely automatic process. To demonstrate the usefulness of the proposed model, it is used to evaluate the circuit performances in the optimization process of an analog cell, achieving considerable speed-up