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IWANN
2005
Springer
13 years 11 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 depend...
Leonardo Franco, José M. Jerez, José...
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
13 years 10 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
BVAI
2005
Springer
13 years 11 months ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
FLAIRS
2004
13 years 6 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
ISCI
1998
83views more  ISCI 1998»
13 years 5 months ago
On Generalization by Neural Networks
We report new results on the corner classification approach to training feedforward neural networks. It is shown that a prescriptive learning procedure where the weights are simp...
Subhash C. Kak