Evolutionary multiobjective neural network models identification: evolving task-optimised models
In the system identification context, neural networks are black-box models, meaning that both their parameters and structure need to be determined from data. Their identification is often done iteratively in an ad-hoc fashion focusing the first aspect. Frequently the selection of inputs, model struc...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2164 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2164 |