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» Optimizing number of hidden neurons in neural networks
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PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
ESANN
2006
13 years 9 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço
TNN
1998
254views more  TNN 1998»
13 years 7 months ago
Periodic symmetric functions, serial addition, and multiplication with neural networks
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Sorin Cotofana, Stamatis Vassiliadis
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon