641 search results - page 30 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
ICONIP
2008
14 years 11 months ago
2008
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
NPL
2000
14 years 9 months ago
2000
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
140
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JMLR
2006
14 years 9 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
100
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ML
2008
ACM
14 years 9 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...