Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow

Lignende værker

• Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors
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• Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature
  af: Babanezhad, Meisam, et al.
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• ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow
  af: Pishnamazi, Mahboubeh, et al.
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• Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube
  af: Babanezhad, Meisam, et al.
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• Developing Intelligent Algorithm as a Machine Learning Overview over the Big Data Generated by Euler–Euler Method To Simulate Bubble Column Reactor Hydrodynamics
  af: Babanezhad, Meisam, et al.
  Udgivet: (2020)