498 search results - page 30 / 100 » Training Neural Networks with GA Hybrid Algorithms |
127
Voted
MLMTA
2007
15 years 3 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
121
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ICONIP
2008
15 years 3 months ago
2008
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
118
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
130
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ICANN
2001
Springer
15 years 6 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
106
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VLSISP
2002
15 years 1 months ago
2002
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...