An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines

Volume: 60, Pages: 1 - 8
Published: Jul 1, 2019
Abstract
A fast calculation of the reliability is meaningful to the in-line inspection of corroding natural gas pipelines. However, the traditional Monte Carlo simulation(MCS) method is time consuming for the low possibilities of the pipeline failure. The artificial neural network(ANN) is preferable for the complex nonlinear situation. An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural...
Paper Details
Title
An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines
Published Date
Jul 1, 2019
Volume
60
Pages
1 - 8
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.