Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

The Novel Modelling Method of Time Series Based on the Internal Model Principle

Authors
W. Wang
Corresponding Author
W. Wang
Available Online July 2015.
DOI
10.2991/aiie-15.2015.153How to use a DOI?
Keywords
time series; internal or external factor; modeling; control ideology; internal model principle
Abstract

In this paper, a novel modelling method for time series is considered. Because the influences of the internal or external factors are often inevitable which result in the irregular change of the series, especially in many of the financial time series, the conventional modelling methods, which depend on the autocorrelation of the series, cannot meet the requirements or have a passive response to the factors. To find an effective method which can reflect the intrinsic essence or external influences of the series, the internal model principle, which is used in the synthesis of control systems for revealing the fundamental features of the factors, is introduced. It may open up broad prospects for improving the fitness or prediction ability of the models under the circumstances mentioned above. This paper discusses the possibility and provides some analytical results.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.153How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - W. Wang
PY  - 2015/07
DA  - 2015/07
TI  - The Novel Modelling Method of Time Series Based on the Internal Model Principle
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 573
EP  - 576
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.153
DO  - 10.2991/aiie-15.2015.153
ID  - Wang2015/07
ER  -