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IWANN
2005
Springer

Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks

9 years 3 months ago
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks
The generalization ability of different sizes architectures with one and two hidden layers trained with backpropagation combined with early stopping have been analyzed. The dependence of the generalization process on the complexity of the function being implemented is studied using a recently introduced measure for the complexity of Boolean functions. For a whole set of Boolean symmetric functions it is found that large neural networks have a better generalization ability on a large complexity range of the functions in comparison to smaller ones and also
Leonardo Franco, José M. Jerez, José
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWANN
Authors Leonardo Franco, José M. Jerez, José M. Bravo
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