11814 search results - page 47 / 2363 » On Generalization by Neural Networks |
132
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
147
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
146
Voted
TNN
2010
14 years 10 months ago
2010
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
121
Voted
ESANN
2001
15 years 5 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
139
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
—It is proposed that the creation of Artificial General Intelligence (AGI) at the human level and ultimately beyond is a problem addressable via integrating computer science algo...