Uncertainty-based performance prediction and optimization of high-fluidization cement grouting material using machine learning and bayesian inference

HIGHLIGHTS

• who: Jiaolong Ren from the Laboratory test have published the paper: Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference, in the Journal: (JOURNAL)
• what: In this study a novel framework of material design was developed by combing the Multioutput support vector machine (MSVM) Bayesian inference and laboratory experiments. The aim of this study is to establish a framework to realize the uncertainty evaluation and quantification during material design to optimized the formula of the cement grouting material. An alternative approach was developed to explore parameter . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.