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A new model of Hopfield network with fractional-order neurons for parameter estimation
In this work, we study an application of fractional-order Hopfield neural networks for optimization problem solving. The proposed network was simulated using a semi-analytical method based on Adomian decomposition,, and it was applied to the on-line estimation of time-varying parameters of nonlinear...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020623/ https://www.ncbi.nlm.nih.gov/pubmed/33840898 http://dx.doi.org/10.1007/s11071-021-06398-z |