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Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids

Zhongwei Zhang, Mohammed Al‐Bahrani, Behrooz Ruhani, Hossein Heybatian Ghalehsalimi, Nastaran Zandy Ilghani, Hamid Maleki, Nafis Ahmad, Navid Nasajpour-Esfahani, Davood Toghraie

2023Chemical Engineering Journal61 citationsDOI

Topics & Concepts

NanofluidAdaptive neuro fuzzy inference systemThermal conductivityMaterials scienceViscositySoft computingMean absolute percentage errorHeat capacityComputer scienceArtificial neural networkMathematicsFuzzy logicMachine learningThermodynamicsArtificial intelligenceNanoparticleNanotechnologyPhysicsComposite materialFuzzy control systemNanofluid Flow and Heat TransferSolar Thermal and Photovoltaic SystemsHeat Transfer and Boiling Studies
Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids | Litcius