Automatic clustering of generalized regression neural network by similarity index based fuzzy c-means clustering
In general regression neural networks (GRNN), one drawback is that the number of training vectors is proportional to the number of hidden nodes, thus a large number of training vectors produce a larger architecture, which is a major disadvantage for many applications. In this paper we proposed an ef...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2120/2/Husain2004_AutomaticClusteringOfGeneralizedRegression.pdf |