4079 search results - page 215 / 816 » Neural Networks |
170
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NN
2000
Springer
15 years 3 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
206
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NPL
2011
14 years 7 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
127
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ISCAS
1999
IEEE
15 years 8 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
143
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ECAI
2004
Springer
15 years 9 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
143
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...