Artificial neural network for the classification of steel hollow pipe

Artificial neural network for the classification of steel hollow pipe

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.

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Bibliographic Details
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
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Institution:	Universiti Malaysia Perlis
Language:	English

Description
Summary:	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.