Title :
A neural network approach to circuit extraction
Author :
Zhang, Q.J. ; Wang, F.
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
Abstract :
A new application problem, i.e., circuit extraction, for neural networks is developed in this paper. A new formulation to represent the circuit extraction problem by numerical pattern recognition is proposed. Multilayer perceptrons (MLP) are utilized to learn the circuit information and to use this knowledge to extract the circuit macromodels
Keywords :
VLSI; circuit CAD; integrated circuit design; integrated circuit modelling; logic design; multilayer perceptrons; pattern recognition; reverse engineering; VLSI design; circuit extraction; circuit macromodels; logic circuits; multilayer perceptrons; neural network approach; numerical pattern recognition; Circuit testing; Consumer electronics; Data mining; Documentation; Expert systems; Multilayer perceptrons; Neural networks; Pattern recognition; Time to market; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.594204
