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A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES

Forecasting of chaotic time-series has increasingly become a popular and challenging subject. Many of the forecasting methods proposed in the literature are either inefficient when applied to multi 'itep-ahead forecasting of chaotic time series as they only perform one-step-ahead forecasts,...

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Main Author: ABDULKADIR, SAID JADID
Format: Thesis
Language:English
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://utpedia.utp.edu.my/id/eprint/21532/1/2015%20-COMPUTER%20%26%20INFORMATION%20SCIENCES%20-%20A%20NON-LINEAR%20HYBRID%20MODEL%20FOR%20MULTI-STEP-AHEAD%20FORECASTING%20OF%20CHAOTIC%20TIME-SERIES%20-%20SAID%20JADID%20ABDULKADIR.pdf
http://utpedia.utp.edu.my/id/eprint/21532/
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spelling oai:utpedia.utp.edu.my:215322024-07-25T04:01:34Z http://utpedia.utp.edu.my/id/eprint/21532/ A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES ABDULKADIR, SAID JADID QA75 Electronic computers. Computer science Forecasting of chaotic time-series has increasingly become a popular and challenging subject. Many of the forecasting methods proposed in the literature are either inefficient when applied to multi 'itep-ahead forecasting of chaotic time series as they only perform one-step-ahead forecasts, or difficult to implement in terms of model complexity. The motivation to conduct the current study is to develop a more effective, easy-to-use and practical method for multi-step-ahead forecasting of chaotic time-series. Over the last decade. the main advances in forecasting are hybrid and ensemble modelling. Theoretical and empirical studies reported in the literature suggest that one of the best ways of enhancing forecasting performance is by hybrid modelling. where the models that constitutes the hybrid model function in a different manner hence capturing disparate data patterns. 2016-07 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/21532/1/2015%20-COMPUTER%20%26%20INFORMATION%20SCIENCES%20-%20A%20NON-LINEAR%20HYBRID%20MODEL%20FOR%20MULTI-STEP-AHEAD%20FORECASTING%20OF%20CHAOTIC%20TIME-SERIES%20-%20SAID%20JADID%20ABDULKADIR.pdf ABDULKADIR, SAID JADID (2016) A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
ABDULKADIR, SAID JADID
A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
description Forecasting of chaotic time-series has increasingly become a popular and challenging subject. Many of the forecasting methods proposed in the literature are either inefficient when applied to multi 'itep-ahead forecasting of chaotic time series as they only perform one-step-ahead forecasts, or difficult to implement in terms of model complexity. The motivation to conduct the current study is to develop a more effective, easy-to-use and practical method for multi-step-ahead forecasting of chaotic time-series. Over the last decade. the main advances in forecasting are hybrid and ensemble modelling. Theoretical and empirical studies reported in the literature suggest that one of the best ways of enhancing forecasting performance is by hybrid modelling. where the models that constitutes the hybrid model function in a different manner hence capturing disparate data patterns.
format Thesis
author ABDULKADIR, SAID JADID
author_facet ABDULKADIR, SAID JADID
author_sort ABDULKADIR, SAID JADID
title A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
title_short A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
title_full A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
title_fullStr A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
title_full_unstemmed A NO-LINEAR HYBRID MODEL FOR MULTI-STEP-AHEAD FORECASTING OF CHAOTIC TIME-SERIES
title_sort no-linear hybrid model for multi-step-ahead forecasting of chaotic time-series
publishDate 2016
url http://utpedia.utp.edu.my/id/eprint/21532/1/2015%20-COMPUTER%20%26%20INFORMATION%20SCIENCES%20-%20A%20NON-LINEAR%20HYBRID%20MODEL%20FOR%20MULTI-STEP-AHEAD%20FORECASTING%20OF%20CHAOTIC%20TIME-SERIES%20-%20SAID%20JADID%20ABDULKADIR.pdf
http://utpedia.utp.edu.my/id/eprint/21532/
_version_ 1805891039349702656
score 13.222552

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