Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms

HIGHLIGHTS

• who: Muhammad Ary Murti from the Telkom University have published the Article: Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms, in the Journal: Scientific Reports Scientific Reports
• what: This experiment shows SVM can compete with the other classification methods such as decision trees and neural u00adnetworks20. The experiment shows that with acceleration as a feature, all models` performances look good, but when velocity and displacement stand alone as a feature, every model has low performance. This research has focused on addressing the multi-classification of the earthquake and non . . .
  

   

  

  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.