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» On Generalization by Neural Networks
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GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 11 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
IJCNN
2006
IEEE
15 years 10 months ago
A Very Small Chaotic Neural Net
— Previously we have shown that chaos can arise in networks of physically realistic neurons [1], [2]. Those networks contain a moderate to large number of units connected in a sp...
Carlos Lourenco
108
Voted
IJCNN
2006
IEEE
15 years 10 months ago
Anti-swing control for overhead crane with neural compensation
— This paper considers the problem of PD control of overhead crane in the presence of uncertainty associated with crane dynamics. By using radial basis function neural networks, ...
Rigoberto Toxqui Toxqui, Wen Yu, Xiaoou Li
IJON
2000
71views more  IJON 2000»
15 years 4 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
135
Voted
NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 4 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori