A Sugeno–multiplicative neuron hybrid system trained by differential evolution algorithm for time series forecasting
Abstract This paper proposes a novel hybrid neuro-fuzzy forecasting framework that integrates the interpretability of the Sugeno fuzzy inference system with the nonlinear modelling capability of a multiplicative neuron model. Unlike conventional Sugeno models that rely on linear consequents, the pro...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2026-05-01
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| coleção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-026-51980-3 |
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