189 search results - page 34 / 38 » Normalized Gaussian Radial Basis Function networks |
AUTOMATICA
2006
14 years 9 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...
IJAR
2006
14 years 9 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
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NECO
2000
14 years 9 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
NIPS
1998
14 years 10 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
TNN
2010
14 years 4 months ago
2010
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...