626 search results - page 56 / 126 » Evolving Artificial Neural Networks that Develop in Time |
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
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AINA
2010
IEEE
14 years 8 months ago
2010
IEEE
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
TNN
2008
14 years 11 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
EVOW
2009
Springer
15 years 6 months ago
2009
Springer
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...