Research on exchange rate forecasting based on deep belief network
By Jing Zheng, Xiao Fu, Guijun Zhang. 2017
57 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Probabilistic & Bayesian Methods, Time-Series & Forecasting
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In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Management Science and Operations Research
In Probabilistic & Bayesian Methods
In Time-Series & Forecasting
Citations in the corpus
- Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, background): “In [169], weekly GBP/USD and INR/USD prices were predicted, whereas in [170], CNY/USD and INR/USD was the main focus.”
- Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021, unknown): “Zheng et al. (2019) proposed an improved Deep Belief Networks (DBN) for forecasting exchange rates and determined that it worked better than traditional methods.”