Time series prediction : design, testing and optimisation using genetic search methods
The process of specifying a prediction model involves selecting the variables to be included, selecting the form of the equation of relationship, and estimating the values of the parameters in that equation. After the model has been specified, its performance characteristics should be further verifi...
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Format: | Thesis |
Language: | English |
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2008
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Online Access: | http://hdl.handle.net/10356/13241 |
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author | Ng, Cheng Piaw. |
author2 | Chin, Teck Chai |
author_facet | Chin, Teck Chai Ng, Cheng Piaw. |
author_sort | Ng, Cheng Piaw. |
collection | NTU |
description | The process of specifying a prediction model involves selecting the variables to be included, selecting the form of the equation of relationship, and estimating the values of the parameters in that equation. After the model has been specified, its performance characteristics should be further verified or validated by comparison of its prediction with historical data for the phenomenon it was designed to predict. |
first_indexed | 2024-10-01T03:25:01Z |
format | Thesis |
id | ntu-10356/13241 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:25:01Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/132412023-07-04T15:51:25Z Time series prediction : design, testing and optimisation using genetic search methods Ng, Cheng Piaw. Chin, Teck Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering The process of specifying a prediction model involves selecting the variables to be included, selecting the form of the equation of relationship, and estimating the values of the parameters in that equation. After the model has been specified, its performance characteristics should be further verified or validated by comparison of its prediction with historical data for the phenomenon it was designed to predict. Master of Science (Computer Control and Automation) 2008-07-09T01:01:01Z 2008-10-20T07:21:05Z 2008-07-09T01:01:01Z 2008-10-20T07:21:05Z 1999 1999 Thesis http://hdl.handle.net/10356/13241 en 116 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Ng, Cheng Piaw. Time series prediction : design, testing and optimisation using genetic search methods |
title | Time series prediction : design, testing and optimisation using genetic search methods |
title_full | Time series prediction : design, testing and optimisation using genetic search methods |
title_fullStr | Time series prediction : design, testing and optimisation using genetic search methods |
title_full_unstemmed | Time series prediction : design, testing and optimisation using genetic search methods |
title_short | Time series prediction : design, testing and optimisation using genetic search methods |
title_sort | time series prediction design testing and optimisation using genetic search methods |
topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
url | http://hdl.handle.net/10356/13241 |
work_keys_str_mv | AT ngchengpiaw timeseriespredictiondesigntestingandoptimisationusinggeneticsearchmethods |