135 search results - page 10 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
160
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JMLR
2006
14 years 11 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....
IJIT
2004
15 years 1 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
100
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ACSC
2008
IEEE
15 years 1 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
101
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ICML
2007
IEEE
16 years 16 days ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...