Evolutionary neural network learning algorithms for changing environments
Classical Machine Learning methods are usually developed to work in static data sets. Yet, real world data typically changes over time and there is the need to develop novel adaptive learning algorithms. In this work, a number of algorithms, combining Neural Network learning models and Evolutionary...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/426 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/426 |