Title :
Application of neural networks in circuit analysis
Author :
Zaabab, A.H. ; Jun Zhang, Qi ; Nakhla, Michel
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
Abstract :
New approaches and techniques are constantly introduced and adopted for circuit analysis and optimization problems. Recently, there is a growing interest in applying the potential of neural networks to many new fields apart from the signal processing area. This paper describes the use of neural networks in circuit analysis and optimization. Device and circuit level models featuring mixed continuous and discrete input parameters are introduced
Keywords :
VLSI; circuit analysis computing; circuit optimisation; field effect transistors; integrated circuit modelling; neural nets; semiconductor device models; FET model; VLSI interconnect delay model; backpropagation; circuit analysis; mixed continuous-discrete input parameters; neural networks; optimization; Central Processing Unit; Circuit analysis; Circuit simulation; FETs; Integrated circuit interconnections; Intelligent networks; Maxwell equations; Neural networks; Physics; Signal processing; Very large scale integration;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488138
