Non-linear Ensemble Modeling for Multi-step Ahead Prediction of Treated COD in Wastewater Treatment Plant-Reference-Cited by-同舟云学术

Non-linear Ensemble Modeling for Multi-step Ahead Prediction of Treated COD in Wastewater Treatment Plant

Published:2019-11-20 Issue: Volume: Page:683-689
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Abba S. I.^ORCID,Elkiran Gozen^ORCID,Nourani Vahid^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-35249-3_88

Reference9 articles.

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2. Dogan, E., Ates, A., Yilmaz, E.C.: Application of Artificial Neural Networks to Estimate Wastewater Treatment Plant Inlet Biochemical Oxygen Demand, vol. I. Wiley InterScience, Hoboken (2015)

3. Yaseen, Z.M., et al.: Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis. Water (Switzerland) 11(3), 502 (2019)

4. Nourani, V., Elkiran, G., Abba, S.I.: Wastewater treatment plant performance analysis using artificial intelligence – an ensemble approach. Water Sci. Technol. 78(10), 2064–2076 (2018)

5. Wang, B., Hao, W.N., Chen, G., He, D.C., Feng, B.: A wavelet neural network forecasting model based on ARIMA. Appl. Mech. Mater. 347–350, 3013–3018 (2013)

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