Foreign exchange prediction using long short-term memory neural network

Foreign exchange prediction using long short-term memory neural network

Long short-term memory (LSTM) neural networks are a modern machine learning technique for sequence learning and prediction. They are inherently suitable and commonly applied to financial time series prediction problems. In this paper, the Author introduces four multivariate models based on LSTM neur...

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書目詳細資料
主要作者:	Sim, Ming Shi
其他作者:	Wang Lipo
格式:	Final Year Project
語言:	English
出版:	2019
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	http://hdl.handle.net/10356/77904
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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