DocumentCode
2733524
Title
A combined transfer function and neural network method for modeling via in multilayer circuits
Author
Xin Zhang ; Cao, Yazi ; Zhang, Q.J.
Author_Institution
Dept. of Electron., Carleton Univ., Ottawa, ON
fYear
2008
fDate
10-13 Aug. 2008
Firstpage
73
Lastpage
76
Abstract
A new approach for via modeling in multilayer circuits is presented in this paper. The proposed technique combines transfer function with neural network to enhance the learning ability of neural network. It is capable of providing accurate simulation models even if an equivalent circuit is not available. It retains the EM level accuracy and reduces CPU time significantly compared to EM simulator. Examples of via holes for both multilayer printed circuit boards and integrated circuits are presented to demonstrate the accuracy and efficiency of this proposed method.
Keywords
circuit simulation; equivalent circuits; neural nets; printed circuits; transfer function matrices; equivalent circuit; integrated circuits; multilayer circuits; multilayer printed circuit boards; neural network method; simulation models; transfer function method; Artificial neural networks; Circuit simulation; Equivalent circuits; Frequency; Integrated circuit interconnections; Multi-layer neural network; Neural networks; Neurons; Solid modeling; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on
Conference_Location
Knoxville, TN
ISSN
1548-3746
Print_ISBN
978-1-4244-2166-4
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2008.4616739
Filename
4616739
Link To Document