Sequence prediction using recurrent neural network

The project implemented a Gap-Filling Engine capable of filling in gaps in missing sequences of various types. A strategy was introduced to look forward into subsequent data, enabling the Engine to improve the accuracy of the prediction by more than 30%. A Sequence Model based on Long Short-term Mem...

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Bibliographic Details
Main Author: Nguyen, Phan Huy
Other Authors: Goh Wooi Boon
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70503
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Institution: Nanyang Technological University
Language: English