Increasing interpretability using a fuzzy-embedded recurrent neural network (FE-RNN) with its application in stock ETF trading

Deep learning has been a recent breakthrough that has enabled predictions and modelling to be very accurate. These predictions and modelling tools were once used to help us understand our data and serve as a tool to make a judgement. However, the vast improvements in these deep learning structures...

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Bibliographic Details
Main Author: Tan, James Chee Min
Other Authors: Quek Hiok Chai
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148790
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Institution: Nanyang Technological University
Language: English