641 search results - page 64 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
NPL
2000
14 years 9 months ago
2000
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
ICPR
2000
IEEE
15 years 2 months ago
2000
IEEE
The problem of selecting an appropriate wavelet filter is always present in the wavelet based image compression. In this study, we apply neural networks to wavelet filter select...
PPSN
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
106
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...