Michigan State University Home
  • MSU Libraries
  • Digital Repository
  • Home
  • About
  • Collections
  1. Home
  2. MSU Libraries Digital Collections
  3. Electronic Theses & Dissertations

Sewer pipeline condition prediction using neural network models

    • In Copyright
    • Files
    • Original file (PDF)
      27.8 MB
    • Cover image (JPG)
      27.1 KB
    • Full text (TXT)
      251.8 KB
    • Metadata
    • MODS (XML)
      4.9 KB
    • Dublin Core (XML)
      1.3 KB
    • NDLTD (XML)
      1.5 KB
    • Permalink
    • Email us at repoteam@lib.msu.edu
    • Report accessibility issue
In Collections
Electronic Theses & Dissertations
Copyright Status
In Copyright
Material Type
Theses
Authors
Kulandaivel, Guruprakash
Date Published
2004
Subjects
Neural networks (Computer science)
Sewerage--Maintenance and repair
Underground utility lines--Maintenance and repair
Program of Study
Building Construction Management
Degree Level
Masters
Language
English
Pages
xii, 180 pages
Permalink
https://doi.org/doi:10.25335/67d0-mp82

Full text

  • Call us: (800) 500-1554
  • Contact Information
  • Site Map
  • Privacy Statement
  • Site Accessibility
  • Call MSU: (517) 355-1855
  • Visit: msu.edu
  • Notice of Nondiscrimination
  • SPARTANS WILL.
  • © Michigan State University
Michigan State University Wordmark