Time series prediction using wavelet and neural networks

In this dissertation, the effectiveness of Wavelet Packet Multi-Layer Perceptrons (WP-MLP) neural network for temporal sequence prediction is investigated. The WP-MLP is essentially a neural network with an input signal decomposed to various resolutions using wavelet transform. The Wavelet packets...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Teo, Kok Keong.
مؤلفون آخرون:	Wang, Lipo
التنسيق:	Theses and Dissertations
منشور في:	2008
الموضوعات:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
الوصول للمادة أونلاين:	http://hdl.handle.net/10356/3561
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	Nanyang Technological University

id	sg-ntu-dr.10356-3561
record_format	dspace
spelling	sg-ntu-dr.10356-35612023-07-04T16:23:58Z Time series prediction using wavelet and neural networks Teo, Kok Keong. Wang, Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this dissertation, the effectiveness of Wavelet Packet Multi-Layer Perceptrons (WP-MLP) neural network for temporal sequence prediction is investigated. The WP-MLP is essentially a neural network with an input signal decomposed to various resolutions using wavelet transform. The Wavelet packets are used to decompose one-dimensional signals so as to illuminate two important properties. Master of Engineering 2008-09-17T09:32:26Z 2008-09-17T09:32:26Z 2002 2002 Thesis http://hdl.handle.net/10356/3561 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Teo, Kok Keong. Time series prediction using wavelet and neural networks
description	In this dissertation, the effectiveness of Wavelet Packet Multi-Layer Perceptrons (WP-MLP) neural network for temporal sequence prediction is investigated. The WP-MLP is essentially a neural network with an input signal decomposed to various resolutions using wavelet transform. The Wavelet packets are used to decompose one-dimensional signals so as to illuminate two important properties.
author2	Wang, Lipo
author_facet	Wang, Lipo Teo, Kok Keong.
format	Theses and Dissertations
author	Teo, Kok Keong.
author_sort	Teo, Kok Keong.
title	Time series prediction using wavelet and neural networks
title_short	Time series prediction using wavelet and neural networks
title_full	Time series prediction using wavelet and neural networks
title_fullStr	Time series prediction using wavelet and neural networks
title_full_unstemmed	Time series prediction using wavelet and neural networks
title_sort	time series prediction using wavelet and neural networks
publishDate	2008
url	http://hdl.handle.net/10356/3561
_version_	1772828139866554368

Time series prediction using wavelet and neural networks

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