Attention-based security price prediction with transformer fuzzy deep neural network (TFDNN)

Attention-based security price prediction with transformer fuzzy deep neural network (TFDNN)

This research paper explores the application of Transformer architecture as a Fuzzy Neural Network (FNN) for predicting security prices. The Transformer model, known for its prowess in handling sequence-to-sequence problems, is adapted to accommodate the intricacies of financial data forecasting. Le...

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Bibliographic Details
Main Author: Wijaya, Timothy Larry
Other Authors: Quek Hiok Chai
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Artificial intelligent
Algorithm finance
Fuzzy
Neural network
Online Access:https://hdl.handle.net/10356/175190

Internet

https://hdl.handle.net/10356/175190

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