Speeding up a learning algorithm for multilayer perceptrons using the MAPS Environment
Artificial neural networks, as non-linear adaptive elements, have been proposed for applications in adaptive control. Their ability to accurately approximate large classes of non-linear functions made them also a valuable tool for non-linear systems identification. However, in some cases, the parame...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2288 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2288 |