Machine Learning Application Guidelines in Flow Assurance
In this chapter guidelines for conducting an effective machine learning based prediction models in flow assurance areas is presented with much emphasis of data availability, data representation and model selection. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Spring...
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| Format: | Book |
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Springer Nature
2023
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| Online Access: | http://scholars.utp.edu.my/id/eprint/38043/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174776536&doi=10.1007%2f978-3-031-24231-1_10&partnerID=40&md5=929af7ae1450461801a9457b6fb11f27 |
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| Summary: | In this chapter guidelines for conducting an effective machine learning based prediction models in flow assurance areas is presented with much emphasis of data availability, data representation and model selection. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. |
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