Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects
نویسندگان
چکیده
Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects Baris Yuce, Ernesto Mastrocinque, Michael Sylvester Packianather, Duc Pham, Alfredo Lambiase & Fabio Fruggiero a Institute of Sustainable Engineering, Cardiff University, Newport Road, The Parade, Queen’s Building, Cardiff CF24 3AA, UK b Department of Industrial Engineering, University of Salerno, Via Ponte don Melillo 1, Fisciano 80046, Italy c Institute of Mechanical and Manufacturing Engineering, Cardiff University, Queen’s Buildings, The Parade, Cardiff CF24 3AA, UK d School of Mechanical Engineering, University of Birmingham, Birmingham B15 2TT, UK e Department of Engineering & Environmental Physics, University of Basilicata, Potenza, Italy Published online: 13 May 2014.
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