Feature selection methods for extreme learning machines

HIGHLIGHTS

• who: Yanlin Fu and collaborators from the School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China have published the Article: Feature Selection Methods for Extreme Learning Machines, in the Journal: Axioms 2022, 11, 444. of /2022/
• what: The authors proposed a feature selection method for the ELM named FELM. The authors compare the classification and feature selection performance of the four considered algorithms when analysing the six UCI and two gene benchmark datasets detailed in Table 4. To improve efficiency and classification accuracy, in this study, two new algorithms FELM and . . .
  

   

  

  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.