361 search results - page 2 / 73 » Minimization of Error Functionals over Perceptron Networks |
GECCO
2005
Springer
13 years 10 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 ...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
TIT
2002
13 years 4 months ago
2002
Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A theoretical framework...
NCA
2006
IEEE
13 years 5 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
TNN
1998
13 years 4 months ago
1998
—In this letter we point out that multilayer neural networks (MLP’s) with either sigmoidal units or radial basis functions can be given a canonical form with positive interunit...