A comparison of four data selection methods for artificial neural networks and support vector machines
The performance of data-driven models such as Artificial Neural Networks and Support Vector Machines relies to a good extent on selecting proper data throughout the design phase. This paper addresses a comparison of four unsupervised data selection methods including random, convex hull based, entrop...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/13292 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/13292 |