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Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzzy C-means Clustering

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Intelligent Computing Theories and Application (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10955))

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Abstract

In order to solve the problem of real-time measurement of dissolved oxygen in wastewater treatment process, a support vector regression algorithm based on fuzzy C-means clustering is proposed to predict the content of dissolved oxygen (DO) in sewage. Firstly, the whole samples are divided into many sub-samples by fuzzy C-mean clustering. Then, a support vector regression model is established on each sub sample. Compared with other prediction methods, the proposed model has good comprehensive prediction performance. It can satisfy the actual demand prediction of DO dissolved oxygen in sewage.

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Acknowledgements

This work was supported by the grant of the National Natural Science Foundation of China, No.61672204, the grant of Major Science and Technology Project of Anhui Province, No.17030901026, the grant of Key Constructive Discipline Project of Hefei University, No. 2016xk05, the grant of the key Scientific Research Foundation of Education Department of Anhui Province, No. KJ2018A0555, KJ2017A542.

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Authors and Affiliations

  1. Department of Environmental Engineering, Hefei University, Hefei, 230601, Anhui, China

    Xing-Liang Shi & Jian Zhou

  2. Key Lab of Network and Intelligent Information Processing, Department of Computer Science and Technology, Hefei University, Hefei, 230601, China

    Xiao-Feng Wang & Le Zou

Authors
  1. Xing-Liang Shi
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  2. Jian Zhou
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  3. Xiao-Feng Wang
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  4. Le Zou
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Corresponding author

Correspondence to Xiao-Feng Wang .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Wuhan University of Science and Technology, Wuhan City, China

    Xiao-Long Zhang

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Shi, XL., Zhou, J., Wang, XF., Zou, L. (2018). Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzzy C-means Clustering. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-95933-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95932-0

  • Online ISBN: 978-3-319-95933-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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