Uncertainty propagation based minlp approach for artificial neural network structure reduction

HIGHLIGHTS

• who: Hasan Sildir et al. from the Department of Chemical Engineering, Gebze Technical University, Gebze, Turkey have published the Article: Uncertainty Propagation Based MINLP Approach for Artificial Neural Network Structure Reduction, in the Journal: Processes 2022, 10, x FOR PEER REVIEW of /2022/
• what: In this study a mixed integer nonlinear programming (MINLP) formulation is proposed to detect the best features and connections among the neural network elements while propagating parameter and output uncertainties for regression problems. In this study, a novel MINLP (mixed-integer nonlinear programming) formulation is developed for the automatic synthesis and . . .
  

   

  

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