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China’s GDP forecasting using Long Short Term Memory Recurrent Neural Network and Hidden Markov Model
This paper presents a Long Short Term Memory Recurrent Neural Network and Hidden Markov Model (LSTM-HMM) to predict China’s Gross Domestic Product (GDP) fluctuation state within a rolling time window. We compare the predictive power of LSTM-HMM with other dynamic forecast systems within different ti...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205526/ https://www.ncbi.nlm.nih.gov/pubmed/35714074 http://dx.doi.org/10.1371/journal.pone.0269529 |