Extraction of piecewise-linear analog circuit models from trained neural networks using hidden neuron clustering

Proceedings -Design, Automation and Test in Europe, DATE

Volumn , Issue , 2003, Pages 1098-1099

  Doboli, Simona ^a   Gothoskar, Gaurav ^a   Doboli, Alex ^b  

^a HOFSTRA UNIVERSITY   (United States)

^b Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALOG-CIRCUIT MODELS; AUTOMATICALLY GENERATED; CIRCUIT PERFORMANCE; DESIGN PARAMETERS; GAIN AND BANDWIDTHS; LINEAR DEPENDENCY; NONLINEAR BEHAVIOR; TRAINED NEURAL NETWORKS;

ANALOG CIRCUITS; CIRCUIT SIMULATION; CIRCUIT THEORY; COMPUTER SIMULATION; DESIGN; EXHIBITIONS; PIECEWISE LINEAR TECHNIQUES;

NEURAL NETWORKS;

EID: 84893797292     PISSN: 15301591     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DATE.2003.1253752     Document Type: Conference Paper

References (5)

1. S. Doboli, et al. Piecewise Linear Modeling of Analog Circuits based on Model Extraction from Trained Neural Networks. In Proc. of BMAS, 2002
2. R.O. Duda and P.E. Hart. Pattern classification and scene analysis, New York: Wiley, 1973.
3. G. Gielen, R. Rutenbar, Computer Aided Design of Analog and Mixed-signal Integrated Circuits, Proc. of IEEE, vol 88, No 12, pp. 1825-1852, 2000
4. D. Leenaerts, W. van Boklioven, Piecewise Linear Modeling and Analysis, Kluwer, 1998
5. R. Setiono, et al. Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks, 13(3):564-577, 2002