| 自适应模糊神经网络在工业用水量预测中的应用 |
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| 引用本文： | 曹安照,田丽. 自适应模糊神经网络在工业用水量预测中的应用[J]. 安徽工程科技学院学报：自然科学版, 2005, 20(3): 1-3 |
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| 作者姓名： | 曹安照 田丽 |
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| 作者单位： | 安徽工程科技学院,电气工程系,安徽,芜湖,241000 |
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| 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.
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| 关 键 词： | ANFIS 工业用水量 预测模型 |
| 文章编号： | 1672-2477(2005)03-0001-03 |
| 收稿时间： | 2005-04-13 |
| 修稿时间： | 2005-04-13 |
Application of the adaptive fuzzy neural network to industrial water consumption prediction |
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| CAO An-zhao,TIAN Li. Application of the adaptive fuzzy neural network to industrial water consumption prediction[J]. Journal of Anhui University of Technology and Science, 2005, 20(3): 1-3 |
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| Authors: | CAO An-zhao TIAN Li |
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| Abstract: | 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. |
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| Keywords: | ANFIS industrial water consumption predicting model |
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