524 search results - page 25 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
193
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AI
2002
Springer
15 years 4 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
166
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ANNPR
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
136
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ICONIP
1998
15 years 6 months ago
1998
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
154
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ICANN
2009
Springer
15 years 9 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
151
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ISNN
2009
Springer
15 years 11 months ago
2009
Springer
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...