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Assessment of Remaining Useful Life of Pipelines Using Different Artificial Neural Networks Models

Author(s):

Medium: journal article
Language(s): English
Published in: Journal of Performance of Constructed Facilities (ASCE), , n. 5, v. 30
Page(s): 04016032
DOI: 10.1061/(asce)cf.1943-5509.0000886
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)cf.1943-5509.0000886.
  • About this
    data sheet
  • Reference-ID
    10192432
  • Published on:
    01/12/2018
  • Last updated on:
    01/12/2018
 
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