Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Application of the Cuckoo Search Based SUPPORT Vector Machine for the Mean Monthly Runoff Forecasting

Authors
B. Xing, Y. Wang, G.D. Liu, Y.F. Ren
Corresponding Author
B. Xing
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.74How to use a DOI?
Keywords
Mean monthly runoff forecast; support vector machine; cuckoo search; artificial neural network
Abstract

Support vector machine (SVM) which is at the forefront of current research due to its high accuracy was used in this paper to carry out mean monthly runoff forecasting. Cuckoo search (CS) was introduced to determine the SVM parameters (kernel parameter ( ) and penalty parameter (C)). Mean monthly runoff and monthly precipitation from 1952 to 2011 of Yichang station in the upper reaches of the Yangtze River were trained and tested. In order to evaluate the effectiveness of the proposed model, the data sets were also modeled using Artificial Neural Networks (ANN). The results indicate that the proposed model (cuckoo search based SVM) is more accurate compared to ANN. This study suggests new opportunities for runoff forecasting.

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 Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.74How 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  - B. Xing
AU  - Y. Wang
AU  - G.D. Liu
AU  - Y.F. Ren
PY  - 2015/11
DA  - 2015/11
TI  - Application of the Cuckoo Search Based SUPPORT Vector Machine for the Mean Monthly Runoff Forecasting
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 311
EP  - 315
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.74
DO  - https://doi.org/10.2991/itms-15.2015.74
ID  - Xing2015/11
ER  -