498 search results - page 44 / 100 » Training Neural Networks with GA Hybrid Algorithms |
111
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TSMC
2008
15 years 1 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
103
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ISMB
1993
15 years 3 months ago
1993
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
161
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BMCBI
2005
15 years 1 months ago
2005
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
126
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NPL
1998
15 years 1 months ago
1998
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...