Paper Info
Title
Spatial-temporal analysis method of plane circuits based on two-layer cellular neural networks
Abstract
Recently, the operational speeds of the integrated circuits are increasing rapidly. There have been many researches about transmission lines because they are very important for designing high performance integrated circuits. As well as transmission lines, the analysis of the power distribution of printed circuit boards becomes more and more important [1-3]. The analysis of the power distribution is important for designing decoupling capcitors. In the power distribution analysis, the finite element method is often applied. However, in the finite element method, in order to obtain the accurate results, we have to discretize the object into the many small elements and to solve large scale equations. It is very time consuming to solve those large scale equations by conventional degital computing.
Year
DOI
Venue
2006
10.1007/11821045_21
IWICPAS
Keywords
Field
DocType
two-layer cellular neural network,decoupling capcitors,finite element method,spatial-temporal analysis method,small element,accurate result,integrated circuit,transmission line,plane circuit,power distribution analysis,large scale equation,power distribution,conventional degital computing,printed circuit board,cellular neural network
Discretization,Computer science,Decoupling (cosmology),Electronic engineering,Finite element method,Electric power transmission,Artificial intelligence,Electronic circuit,Integrated circuit,Cellular neural network,Equivalent circuit,Distributed computing
Conference
Volume
ISSN
ISBN
4153
0302-9743
3-540-37597-X
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Masayoshi Oda122.19
Yoshifumi Nishio222971.08
Akio Ushida36924.16