Annual runoff forecasting method based on ANFIS model
[1]Ma Xiaoxia,CHEN Xin,Hu Tiecheng.Annual runoff forecasting method based on ANFIS model[J].Journal of Zhengzhou University (Engineering Science),2007,28(03):121-124.[doi:10.3969/j.issn.1671-6833.2007.03.032]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
28
Number of periods:
2007年03期
Page number:
121-124
Column:
Public date:
1900-01-01
- Title:
- Annual runoff forecasting method based on ANFIS model
- Keywords:
- runoff forecasting; ANFIS; artificial neural networks; Impact factor
- CLC:
- -
- DOI:
- 10.3969/j.issn.1671-6833.2007.03.032
- Abstract:
- This paper analyzes the characteristics of the runoff forecasting method in previous years, expounds the adaptive network-based fuzzy inference system (ANFIS), proposes the ANFIS model of annual runoff forecasting, and applies it to the annual runoff forecast of a hydrological station in Northwest China. MATLAB is used as a tool to forecast annual runoff based on the hydrological data of the area. The example results show that compared with the improved ANN model (fastest descent-conjugate gradient method and evolutionary simplex method), the proposed method has fast calculation speed, strong generalization ability and high prediction accuracy, indicating that ANFIS has good applicability in annual runoff forecasting.
- References:
- -
- Similar References:
Memo
-
Last Update:
1900-01-01