Artificial neural network for the classification of steel hollow pipe

• Main Authors: Nur Farahiyah, Mohamad, Hafizawati, Zakaria, Rakhmad Arief, Siregar, Hariharan, M., Fauziah, Mat
• Format: Working Paper
• Language: English
• Published: Universiti Malaysia Perlis 2009
• Subjects: Artificial intelligence; Neural networks (Computer science); Pipe, Steel; Nondestructive testing; Pipelines; Crack detection; Tubes, Steel > Cracking; Pipe, Steel > Cracking
• Online Access: http://dspace.unimap.edu.my/xmlui/handle/123456789/7230

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.