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
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.128
