Open AccessPrediction of Corrosion Rate of Submarine Oil and Gas Pipelines Based on IA-SVM Model
Author(s) -
Chen Wang,
Gang Ma,
Junfei Li,
Zheng Dai,
Jinyuan Liu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/242/2/022023
Subject(s) - support vector machine , pipeline transport , corrosion , submarine , submarine pipeline , kernel (algebra) , mean squared error , computer science , pattern recognition (psychology) , artificial intelligence , petroleum engineering , engineering , statistics , mathematics , marine engineering , materials science , geotechnical engineering , environmental engineering , metallurgy , combinatorics