A study of recurrent neural networks for grammatical inference

The objective of this thesis is twofold. Firstly, we want to study the potential of recurrent neural networks as inference engines for discovering rules generated by unknown grammars under the formal language hierarchy. Secondly, we wish to explore the (in)capabilities of recurrent networks for lear...

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Main Author:	Tan, Poy Boon.
Other Authors:	Chen, Li Hui
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/19577
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-195772023-07-04T15:26:41Z A study of recurrent neural networks for grammatical inference Tan, Poy Boon. Chen, Li Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The objective of this thesis is twofold. Firstly, we want to study the potential of recurrent neural networks as inference engines for discovering rules generated by unknown grammars under the formal language hierarchy. Secondly, we wish to explore the (in)capabilities of recurrent networks for learning grammars, proposing enhanced models to rectify any identified limitations. Master of Engineering 2009-12-14T06:16:09Z 2009-12-14T06:16:09Z 1997 1997 Thesis http://hdl.handle.net/10356/19577 en NANYANG TECHNOLOGICAL UNIVERSITY 172 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Tan, Poy Boon. A study of recurrent neural networks for grammatical inference
description	The objective of this thesis is twofold. Firstly, we want to study the potential of recurrent neural networks as inference engines for discovering rules generated by unknown grammars under the formal language hierarchy. Secondly, we wish to explore the (in)capabilities of recurrent networks for learning grammars, proposing enhanced models to rectify any identified limitations.
author2	Chen, Li Hui
author_facet	Chen, Li Hui Tan, Poy Boon.
format	Theses and Dissertations
author	Tan, Poy Boon.
author_sort	Tan, Poy Boon.
title	A study of recurrent neural networks for grammatical inference
title_short	A study of recurrent neural networks for grammatical inference
title_full	A study of recurrent neural networks for grammatical inference
title_fullStr	A study of recurrent neural networks for grammatical inference
title_full_unstemmed	A study of recurrent neural networks for grammatical inference
title_sort	study of recurrent neural networks for grammatical inference
publishDate	2009
url	http://hdl.handle.net/10356/19577
_version_	1772826458279903232

A study of recurrent neural networks for grammatical inference

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