A novel hybrid water quality time series prediction method based on cloud model and fuzzy forecasting
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- 作者：Weihui Deng dengweihui@cigit.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Guoyin Wang ; wanggy@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Xuerui Zhang
- 关键词：Water quality time series prediction ; Cloud model ; Fuzzy time series ; Approximate periodicity
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2015
- 出版时间：15 December 2015
- 年：2015
- 卷：149
- 期：part_PA
- 页码：39-49
- 全文大小：2034 K
文摘
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A novel hybrid water quality time series prediction model is proposed.
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The numerical data is extracted into Gaussian clouds using cloud model.
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It constructs the training dataset by using the approximate periodicity of data.
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Fuzzy time series model is adopted to do the forecasting.
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The proposed method outperforms the traditional models.