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Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment operations

Subin Lin, Jiwoong Kim, Chuanbo Hua, Seoktae Kang, Mi‐Hyun Park

2023Journal of Water Process Engineering28 citationsDOI

Topics & Concepts

Raw waterTurbidityWater qualityProcess (computing)Computer scienceArtificial intelligenceRaw dataDeep learningArtificial neural networkMachine learningWater treatmentWater modelProcess modelingEnvironmental scienceEnvironmental engineeringProcess optimizationChemistryComputational chemistryOperating systemEcologyOceanographyBiologyGeologyProgramming languageMolecular dynamicsAir Quality Monitoring and ForecastingHydrological Forecasting Using AIWater Quality Monitoring Technologies
Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment operations | Litcius