248 search results - page 4 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
WSC
2004
13 years 6 months ago
2004
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
AUTOMATICA
2006
13 years 5 months ago
2006
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
ENVSOFT
2008
13 years 5 months ago
2008
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
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 ...