Hybrid artificial neural networks modeling for faults identification of a stochastic multivariate process

HIGHLIGHTS

  • who: Yuehjen E., Shao and Chia-Ding, Hou from the Department of Statistics and Information Science, Fu Jen Catholic University, No510, Zhongzheng Road, Xinzhuang, New Taipei City, Taiwan have published the research: Hybrid Artificial Neural Networks Modeling for Faults Identification of a Stochastic Multivariate Process, in the Journal: (JOURNAL)
  • what: In contrast with the traditional single classifier approach this study proposes hybrid modeling schemes to address problems that involve a large number of quality variables in a multivariate normal process. The contribution plots were used by the studies . The literature review has shown that most . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?