水利学报2012，Vol.43Issue(1)：112-117,6.
基于网络的自适应模糊推理系统在冰情预报中的应用
Appication of Adaptive-Network-Based Fuzzy Inference System to ice condition forecast
摘要
Abstract
The Adaptive-Network-Based Fuzzy Inference System （ANFIS） has been applied to forecast the ice condition. By using a hybrid learning procedure, the ANFIS is employed to model the nonlinear functions, such as the forecast. By analyzing the ANFIS structure, the characteristic of the water temperature data and the factors related to forecast, and comparing the forecasted result based on changing their numbers and days, the type and number of membership functions and the forecast period are selected. The above study is applied to forecast the water temperature of the Shizuishan Hydrological Stations in the Yellow River for 4-year winter. The forecast results are in good agreement with the observed data.关键词
ANFIS/冰情/预报/水温/黄河/隶属度函数Key words
ANFIS/ice condition/water temperature/Yellow River/membership function分类
建筑与水利引用本文复制引用
王涛,杨开林,郭新蕾,付辉..基于网络的自适应模糊推理系统在冰情预报中的应用[J].水利学报,2012,43(1):112-117,6.基金项目
国家自然科学基金（50609031 （）
51179209） （）
