Sequence prediction using recurrent neural network

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...

Bibliografiset tiedot
Päätekijä:	Nguyen, Phan Huy
Muut tekijät:	Goh Wooi Boon
Aineistotyyppi:	Final Year Project (FYP)
Kieli:	English
Julkaistu:	2017
Aiheet:	DRNTU::Engineering::Computer science and engineering
Linkit:	http://hdl.handle.net/10356/70503

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