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Dogo et al., 2019 - Google Patents

A survey of machine learning methods applied to anomaly detection on drinking-water quality data

Dogo et al., 2019

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Document ID
496723865740701577
Author
Dogo E
Nwulu N
Twala B
Aigbavboa C
Publication year
Publication venue
Urban Water Journal

External Links

Snippet

Traditional machine learning (ML) techniques such as support vector machine, logistic regression, and artificial neural network have been applied most frequently in water quality anomaly detection tasks. This paper presents a review of progress and advances made in …
Continue reading at www.researchgate.net (PDF) (other versions)

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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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