摘要
阐述了自适应模糊推理系统(Adaptive Network-based Fuzzy Inference System,ANFIS)网络,提出了工业用水量预测的ANFIS网络预测模型,并以黄河流域1993—2002年工业用水量为训练样本,以2003年、2004年工业用水量为校验样本,结果表明,ANFIS神经网络预测模型具有很高的准确性和实用性.
The paper explained the Adaptive Network-based Fuzzy Inference System net, proposed the ANFIS network predicting models for industrial water consumption and predicting. With the industrial water consumption of 1993--2002 year in the Yellow River Basin as the sample and the year 2003 and . 2004 industrial water consumption as the check-up sample, the result indicated that the ANFIS neural network predicting model had very high accuracy and practicability.
基金
安徽省教育厅科研基金资助项目(2005kjo66)
关键词
ANFIS
工业用水量
预测模型
ANFIS
industrial water consumption
predicting model
