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Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback
Evolving fuzzy neural networks are models capable of solving complex problems in a wide variety of contexts. In general, the quality of the data evaluated by a model has a direct impact on the quality of the results. Some procedures can generate uncertainty during data collection, which can be ident...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061807/ https://www.ncbi.nlm.nih.gov/pubmed/37009465 http://dx.doi.org/10.1007/s12530-022-09455-z |