Evolving type-2 neural fuzzy inference system with embedded deep learning in dynamic portfolio rebalancing

This paper examines the benefits of integrating neuro-fuzzy system and deep learning architecture for making predictions in a noisy environment with dynamically changing data, and its feasibility in financial market applications. Previous research has been carried out to implement deep neural netw...

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Bibliographic Details
Main Author: Dinh Khoat Hoang Anh
Other Authors: Quek Hiok Chai
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148085
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Institution: Nanyang Technological University
Language: English
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