An artificial neural network modeling for pipeline corrosion growth prediction

• Main Authors: Mat Din, Mazura, Ithnin, Norafida, Mohd. Zain, Azlan, Md. Noor, Norhazilan, Md. Siraj, Maheyzah, Mohd. Rasol, Rosilawati
• Format: Article
• Published: Asian Research Publishing Network 2015
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/57741/

Corrosion defect assessment becoming a forte issue in pipeline reliability assessment to accurately predict the severity of its condition. Due to the uncertainties inherit from the pipeline inspection at present, statistical model use to model the corrosion growth apply a correctional methods to red...