Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment-Reference-Cited by-同舟云学术

Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment

Published:2001-01 Issue:1 Volume:15 Page:4-14
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chae Myung Jin¹²³,Abraham Dulcy M.¹²³

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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