DocumentCode
2449387
Title
Application of Group Method of Data Handling to Strean-Way Transition
Author
Ma, Shih-Wei ; Kou, Chang-Huan ; Chen, Li ; Wang, An-Pei
Author_Institution
Dept. of Civil Eng. & Eng. Inf., Chung Hua Univ., Hsinchu, Taiwan
fYear
2009
fDate
25-26 April 2009
Firstpage
301
Lastpage
304
Abstract
The main purpose of this paper is to predict stream-way transition with group method of data handling (GMDH). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by group method of data handling. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment. We selected some cross sections of Ta-Chia River in Taiwan as a case study. The results show that GMDH has better performance than the traditional linear regression method.
Keywords
forecasting theory; hydrology; group method of data handling; hydrology; linear regression method; strean-way transition; Algorithm design and analysis; Civil engineering; Data engineering; Data handling; Informatics; Linear regression; Neural networks; Predictive models; Rivers; Soil; group method of data handling; linear regression method; stream-way transition;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.128
Filename
5159000
Link To Document