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IJCNN
2006
IEEE
15 years 9 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
118
Voted
CCGRID
2010
IEEE
15 years 4 months ago
Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs
Finite difference methods continue to provide an important and parallelisable approach to many numerical simulations problems. Iterative multigrid and multilevel algorithms can co...
Daniel P. Playne, Kenneth A. Hawick
AMC
2008
67views more  AMC 2008»
15 years 3 months ago
A nonconforming covolume method for elliptic problems
We consider a control volume(covolume) method for second order elliptic PDEs with the rotated-Q1 nonconforming finite element on rectangular grids. The coefficient may a variable,...
Yun K. Hyon, Ho J. Jang, Do Y. Kwak
125
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AMC
2006
120views more  AMC 2006»
15 years 3 months ago
Discrete-velocity relaxation methods for large eddy simulation
ct 9 A new discrete-velocity method for the numerical solution of large eddy simulation (LES) is presented based on relax10 ation type formulation. The discrete-velocity equations ...
Mapundi K. Banda, Mohammed Seaïd, Ioan Teleag...
140
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SIAMSC
2008
99views more  SIAMSC 2008»
15 years 3 months ago
Mixed Multiscale Finite Element Methods for Stochastic Porous Media Flows
In this paper, we propose a stochastic mixed multiscale finite element method. The proposed method solves the stochastic porous media flow equation on the coarse grid using a set ...
J. E. Aarnes, Yalchin Efendiev