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Forecasting Interaction of Exchange Rates between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks
Chiao Ting Chen, Lin Kuan Chiang, Yi Cheng Huang,
Szu-Hao Huang
資訊管理與財務金融學系
研究成果
:
Conference contribution
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3
引文 斯高帕斯（Scopus）
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Keyphrases
Accuracy Rate
25%
Cryptocurrency
100%
Deep Learning Methods
50%
Deep Machine Learning
25%
Economic Model
25%
Economic Statistics
25%
Exchange Rate
100%
Extraction Methods
25%
Feature Extraction
25%
Fiat Currency
100%
Financial Studies
25%
Financial Technology
25%
Financial Time Series Data
25%
Forecasting Exchange Rate
25%
Machine Learning Learning
25%
Performance Prediction
50%
Relation Network
100%
Spatial Relationship
25%
Statistic Approach
25%
Technology Studies
25%
Temporal Relations
25%
Visual Question Answering
50%
Engineering
Answering Question
100%
Data Series
50%
Deep Learning Method
100%
Experimental Result
50%
Feature Extraction
50%
Learning System
50%
Learning Technique
100%
Prediction Performance
100%
Computer Science
Cryptocurrency
100%
Deep Learning Technique
50%
Experimental Result
25%
Feature Extraction
25%
Financial Time
25%
Learning System
25%
Machine Learning
25%
Prediction Performance
50%
Spatial Relationship
25%
Temporal Relationship
25%
Time Series Data
25%
Visual Question Answering
50%
Economics, Econometrics and Finance
Cryptocurrency
100%
Exchange Rate
100%
Fintech
25%
Machine Learning
25%
Time Series
25%