Predicting Water-Based Nanofluid Viscosity Using Machine Learning: Performance Evaluation of LS-SVM, GMDH, and GP Models

Viscosity is one of the most important properties of nanofluids, which has a direct influence on fluid flow as well as convective heat transfer. Despite extensive experimental studies and theoretical models, accurate prediction of nanofluid viscosity remains challenging due to the complex interplay...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Hassan Abedini, Alexei Rozhenko, Fahimeh Hadavimoghaddam, Mohsen Tamtaji, Jafar Abdi
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR 2025-09-01
سلاسل:	Iranian Journal of Chemistry & Chemical Engineering
الموضوعات:	least squares support vector machine nanofluids viscosity genetic programming machine learning
الوصول للمادة أونلاين:	https://ijcce.ac.ir/article_727060_06a4a7f31a6018c31736934196261884.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!