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Taming the Chaos in Neural Network Time Series Predictions

Machine learning methods, such as Long Short-Term Memory (LSTM) neural networks can predict real-life time series data. Here, we present a new approach to predict time series data combining interpolation techniques, randomly parameterized LSTM neural networks and measures of signal complexity, which...

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Detalles Bibliográficos
Autores principales: Raubitzek, Sebastian, Neubauer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622738/
https://www.ncbi.nlm.nih.gov/pubmed/34828122
http://dx.doi.org/10.3390/e23111424

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