Interpretable fuzzy-embedded deep neural network with its application in stock trading
Neural networks have become increasingly common over the years, being used in a wide range of applications. They are machine learning models designed to simulate the structure and function of the human brain, consisting of neurons which process and transmit information. Neural networks have the capa...
Main Author: | Koh, Amadeus Ying Jie |
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Other Authors: | Quek Hiok Chai |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/166021 |
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