DocumentCode
3486258
Title
Modular artificial neural network models for simulation and optimization of VLSI circuits
Author
Ilumoka, A.A.
Author_Institution
Dept. of Electr. Eng., Hartford Univ., West Hartford, CT, USA
fYear
1997
fDate
7-9 Apr 1997
Firstpage
190
Lastpage
195
Abstract
A method is proposed which generates a modular neural network MANN for mapping process level parameters to circuit performance. The MANN-an adaptive mixture of local experts competing to learn different aspects of a problem-is employed in performing extremely efficient optimization of the circuit yield at minimal cost. The MANN calculates circuit performance and optimizes yield with 97% accuracy at 28% of the cost of a full SPICE simulation
Keywords
VLSI; circuit analysis computing; circuit optimisation; digital simulation; neural nets; MANN; VLSI circuits; circuit performance; modular artificial neural network models; modular neural network; optimization; process level parameters; Artificial neural networks; Circuit optimization; Circuit simulation; Cost function; Fabrication; Manufacturing; Multi-layer neural network; Probability; SPICE; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Symposium, 1997. Proceedings., 30th Annual
Conference_Location
Atlanta, GA
ISSN
1080-241X
Print_ISBN
0-8186-7934-4
Type
conf
DOI
10.1109/SIMSYM.1997.586552
Filename
586552
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