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...

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Detalles Bibliográficos
Autores principales: Zhang, Junhuan, Wen, Jiaqi, Yang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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