364 search results - page 29 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
132
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ACSC
2008
IEEE
15 years 4 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...
115
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TSMC
2008
15 years 2 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
134
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ICES
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
128
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ANNS
2007
15 years 4 months ago
2007
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
126
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...