Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors

Lignende værker

• Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow
  af: Babanezhad, Meisam, et al.
  Udgivet: (2020)
• Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature
  af: Babanezhad, Meisam, et al.
  Udgivet: (2020)
• ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow
  af: Pishnamazi, Mahboubeh, et al.
  Udgivet: (2020)
• Mechanistic modeling and numerical simulation of axial flow catalytic reactor for naphtha reforming unit
  af: Pishnamazi, Mahboubeh, et al.
  Udgivet: (2020)
• High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system
  af: Babanezhad, Meisam, et al.
  Udgivet: (2020)