Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment
Author:
Affiliation:
1. Associate Member, ASCE
2. Res. Asst. and Doctoral Candidate, School of Civ. Engrg., Purdue Univ., West Lafayette, IN 47907. E-mail: chae@ecn.purdue.edu
3. Assoc. Prof., School of Civ. Engrg., Purdue Univ., West Lafayette, IN.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Computer Science Applications,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282001%2915%3A1%284%29
Reference20 articles.
1. Abraham D. M. Iseley T. Prasanth R. K. and Wirahadikusumah R. ( 1997). “Integrating sensing technologies for underground utility assessment.” ASCE Conf. on Infrastruct. Condition Assessment: Art Sci. Pract . ASCE Reston Va. 316–325.
2. Bow S. ( 1992). Pattern recognition and image preprocessing Marcel Dekker New York.
3. Campbell R. Rogers K. and Gibert J. ( 1995). “PIRAT—A system for quantitative sewer assessment.” Int. No-Dig. `95 Conf . Hamburg-Messe & Congress GmbH (HMC) Dresden Germany 455–462.
4. Commonwealth Scientific and Industrial Research Organization (CSIRO). ( 1999). 〈http://www.dbce.csiro.au/ind-serv/brochures/pirat/pirat.htm〉.
5. Feng M. Q. Suzuki H. and Yokoi I. ( 1995). “Development of optical sensing systems for smart civil infrastructure.” Smart Mat. and Struct . 4(1A) 114–120.
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