Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply-Reference-Cited by-同舟云学术

Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply

Published:2017 Issue: Volume: Page:74-95
ISSN:0302-9743
Container-title:Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV
language:
Short-container-title:

Author:

Mohammed Hadi,Hameed Ibrahim A.,Seidu Razak

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-56121-8_4

Reference32 articles.

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2. Brion, G.M., Neelakantan, T.R., Lingireddy, S.: Using neural networks to predict peak Cryptosporidium concentrations. J. Am. Water Works Assoc. (AWWA) 93(1), 99–105 (2001)

3. Bartsch, S.M., Lopman, B.A., Ozawa, S., Hall, A.J., Lee, B.Y.: Global economic burden of norovirus gastroenteritis. PLoS One 11(4), e0151219 (2016). https://doi.org/10.1371/journal.pone.0151219

4. Altintas, Z., Gittens, M., Pocock, J., Tothill, I.E.: Biosensors for waterborne viruses: detection and removal. Biochimie 115(2015), 144–154 (2015)

5. Wigginton, K.R., Kohn, T.: Virus disinfection mechanisms: the role of virus composition, structure, and function. Curr. Opin. Virol. 2(1), 84–89 (2012)

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