Forecasting exchange rate with deep belief networks

By Jing Chao, Shen Furao, Jinxi Zhao. 2011

47 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods, Economics & Operations Research, Time-Series & Forecasting

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. Ren Zhang
2. Jinxi Zhao
3. Shen Furao
4. A. Ozbayoglu
5. Omer Berat Sezer
6. M. Ugur Gudelek

In Economics & Operations Research

1. A. Ozbayoglu
2. Ren Zhang
3. M. Ugur Gudelek
4. Jinxi Zhao
5. Shen Furao
6. Omer Berat Sezer

In Time-Series & Forecasting

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Ren Zhang
5. Jinxi Zhao
6. Shen Furao
7. Weiwei Jiang
8. Longbing Cao

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.”
• A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting (2014, methodology): “We compare CDBN-FG with CDBN [12] and BP-FG in experiments.”