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30th Annual Simulation Symposium (SS '97)
Modular artificial neural network models for simulation and optimization of VLSI circuits
Atlanta, GA
April 07-April 09
ISBN: 0-8186-7934-4
A.A. Ilumoka, Dept. of Electr. Eng., Hartford Univ., West Hartford, CT, USA
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.
Index Terms:
circuit analysis computing; modular artificial neural network models; VLSI circuits; modular neural network; MANN; process level parameters; circuit performance; optimization
Citation:
A.A. Ilumoka, "Modular artificial neural network models for simulation and optimization of VLSI circuits," ss, pp.190, 30th Annual Simulation Symposium (SS '97), 1997
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