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 journal › Article

    34 Citations (Scopus)
    82 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.

    Material Science

    Engineering

    Computer Science

    Physics