Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling
Joint Authors
Huang, Chien-Lin
Hsu, Nien-Sheng
Wei, Chih-Chiang
Lo, Chun-Wen
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-20
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
This study aims to construct a typhoon precipitation forecast model providing forecasts one to six hours in advance using optimal model parameters and structures retrieved from a combination of the adaptive network-based fuzzy inference system (ANFIS) and artificial intelligence.
To enhance the accuracy of the precipitation forecast, two structures were then used to establish the precipitation forecast model for a specific lead-time: a single-model structure and a dual-model hybrid structure where the forecast models of higher and lower precipitation were integrated.
In order to rapidly, automatically, and accurately retrieve the optimal parameters and structures of the ANFIS-based precipitation forecast model, a tabu search was applied to identify the adjacent radius in subtractive clustering when constructing the ANFIS structure.
The coupled structure was also employed to establish a precipitation forecast model across short and long lead-times in order to improve the accuracy of long-term precipitation forecasts.
The study area is the Shimen Reservoir, and the analyzed period is from 2001 to 2009.
Results showed that the optimal initial ANFIS parameters selected by the tabu search, combined with the dual-model hybrid method and the coupled structure, provided the favors in computation efficiency and high-reliability predictions in typhoon precipitation forecasts regarding short to long lead-time forecasting horizons.
American Psychological Association (APA)
Huang, Chien-Lin& Hsu, Nien-Sheng& Wei, Chih-Chiang& Lo, Chun-Wen. 2015. Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-22.
https://search.emarefa.net/detail/BIM-1052740
Modern Language Association (MLA)
Huang, Chien-Lin…[et al.]. Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling. Advances in Meteorology No. 2015 (2015), pp.1-22.
https://search.emarefa.net/detail/BIM-1052740
American Medical Association (AMA)
Huang, Chien-Lin& Hsu, Nien-Sheng& Wei, Chih-Chiang& Lo, Chun-Wen. Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-22.
https://search.emarefa.net/detail/BIM-1052740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052740