Foreign exchange prediction using long short-term memory neural network

• المؤلف الرئيسي: Sim, Ming Shi
• مؤلفون آخرون: Wang Lipo
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2019
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/77904
• المؤسسة: Nanyang Technological University

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...