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» Statistical Methods for Construction of Neural Networks
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NGC
2010
Springer
183views Communications» more  NGC 2010»
13 years 3 months ago
Brain-like Computing Based on Distributed Representations and Neurodynamics
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Ken Yamane, Masahiko Morita
IJPRAI
1998
100views more  IJPRAI 1998»
13 years 8 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 2 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
KES
2008
Springer
13 years 8 months ago
An Intelligent Traffic Light Control Based on Extension Neural Network
This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing tim...
Kuei-Hsiang Chao, Ren-Hao Lee, Meng-Hui Wang
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
13 years 8 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie