135 search results - page 7 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
WCE
2007
15 years 26 days ago
2007
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
CONNECTION
2004
14 years 11 months ago
2004
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
87
Voted
GECCO
2000
Springer
15 years 3 months ago
2000
Springer
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
84
Voted
ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
134
click to vote
TNN
2010
14 years 6 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...