Skip to main navigation Skip to search Skip to main content

Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects

  • B. Yuce
  • , Ernesto Mastronique
  • , M. S. Packianather
  • , D. Pham
  • , A. Lambiase
  • , F. Fruggiero

    Research output: Contribution to journalArticle

    87 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects'. Together they form a unique fingerprint.
    Sort by

    Material Science

    Engineering

    Computer Science

    Physics