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A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks
Measuring the predictability and complexity of time series using entropy is essential tool designing and controlling a nonlinear system. However, the existing methods have some drawbacks related to the strong dependence of entropy on the parameters of the methods. To overcome these difficulties, thi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621949/ https://www.ncbi.nlm.nih.gov/pubmed/34828130 http://dx.doi.org/10.3390/e23111432 |