498 search results - page 41 / 100 » Training Neural Networks with GA Hybrid Algorithms |
111
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ML
2000
ACM
15 years 1 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
133
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APIN
2004
15 years 1 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
109
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VTC
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
131
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
117
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JAISE
2011
14 years 4 months ago
2011
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...