A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Pipeline corrosion is one of the most critical and severe cause of pipeline incidents annually. Pipeline incidents bring about disastrous damages not only to human but also to the ecosystem and economy of a country. Pipeline operators are aware of this fact and have deployed a more regular and thoro...
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Medwell Journals
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049922210&doi=10.3923%2fjeasci.2018.3131.3138&partnerID=40&md5=df365e25f0008e1d77598a74a9295cf6 http://eprints.utp.edu.my/21267/ |
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