Sewer pipeline condition prediction using neural network models

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

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