Training Neural Networks Using Input Data Characteristics
Feature selection is often an essential data processing step prior to applying a learning algorithm. The aim of this paper consists in trying to discover whether removal of irrelevant and redundant information improves the performance of neural network training results. The present study will descri...
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| Format: | Article |
| Language: | English |
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Stefan cel Mare University of Suceava
2008-06-01
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| Series: | Advances in Electrical and Computer Engineering |
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| Online Access: | http://dx.doi.org/10.4316/AECE.2008.02012 |