SPLINE OPTIMIZATION OF SOFT CONNECTIVES IN MACHINE LEARNING MODELS
In this study, the problem of limited accuracy of machine learning models using soft logical connectives is investigated. Such connectives have shown their effectiveness in models with fuzzy initial data. On the one hand, the fundamental disadvantage of soft connectives is their non-associativity....
| Huvudupphovsmän: | , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Centro Latinoamericano de Estudios en Informática
2024-04-01
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| Serie: | CLEI Electronic Journal |
| Länkar: | https://clei.org/cleiej/index.php/cleiej/article/view/611 |