A comparison between two approaches to optimize weights of connections in artificial neural networks
Artificial neural networks (ANNs) have been used for estimation in numerous areas. Raising the accuracy of ANNs is always one of the important challenges, which is generally defined as a non-linear optimization problem. The aim of this optimization is to find better values for the weights of the con...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | http://hdl.handle.net/10400.14/36530 |
| País: | Portugal |
| Oai: | oai:repositorio.ucp.pt:10400.14/36530 |