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» Neural networks for computational neuroscience
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ESWA
2007
100views more  ESWA 2007»
15 years 6 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
GRAPHITE
2005
ACM
15 years 11 months ago
A neural network scheme for transparent surface modelling
Mohamad Ivan Fanany, Itsuo Kumazawa, Kiichi Kobaya...
ICPR
2002
IEEE
15 years 11 months ago
Boosting in Probabilistic Neural Networks
Jiri Grim, Pavel Pudil, Petr Somol
IPPS
1998
IEEE
15 years 10 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
EUSFLAT
2003
110views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
Neuro-finite element static analysis of structures by assembling elemental neuro-modelers
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...
Abdolreza Joghataie