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Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm
Joint Authors
Adnan, Rana Muhammad
Yuan, Xiaohui
Anam, Rabia
Kisi, Ozgur
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-19
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
River flow prediction is essential in many applications of water resources planning and management.
In this paper, the accuracy of multivariate adaptive regression splines (MARS), model 5 regression tree (M5RT), and conventional multiple linear regression (CMLR) is compared with a hybrid least square support vector regression-gravitational search algorithm (HLGSA) in predicting monthly river flows.
In the first part of the study, all three regression methods were compared with each other in predicting river flows of each basin.
It was found that the HLGSA method performed better than the MARS, M5RT, and CMLR in river flow prediction.
The effect of log transformation on prediction accuracy of the regression methods was also examined in the second part of the study.
Log transformation of the river flow data significantly increased the prediction accuracy of all regression methods.
It was also found that log HLGSA (LHLSGA) performed better than the other regression methods.
In the third part of the study, the accuracy of the LHLGSA and HLGSA methods was examined in river flow estimation using nearby river flow data.
On the basis of results of all applications, it was found that LHLGSA and HLGSA could be successfully used in prediction and estimation of river flow.
American Psychological Association (APA)
Adnan, Rana Muhammad& Yuan, Xiaohui& Kisi, Ozgur& Anam, Rabia. 2017. Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1122556
Modern Language Association (MLA)
Adnan, Rana Muhammad…[et al.]. Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm. Advances in Meteorology No. 2017 (2017), pp.1-23.
https://search.emarefa.net/detail/BIM-1122556
American Medical Association (AMA)
Adnan, Rana Muhammad& Yuan, Xiaohui& Kisi, Ozgur& Anam, Rabia. Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1122556
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122556