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 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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||