Percussion and pso-svm-based damage detection for refractory materials

HIGHLIGHTS

• who: Dan Yang et al. from the Wuhan University of Science and Technology, Wuhan, China have published the Article: Percussion and PSO-SVM-Based Damage Detection for Refractory Materials, in the Journal: Micromachines 2023, 13, x FOR PEER Figure REVIEW11. of /2023/
• what: In this paper a novel and pArticle swarm optimization-support vector machine (PSO-SVM)-based method is proposed to detect damage in refractory materials. The overall speed and accuracy of the model is closely related to the reasonable partitioning ofthe the speed and accuracy of the model is closely related to the . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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