Intelligent Model for Constructed Facilities Surface Assessment-Reference-Cited by-同舟云学术

Intelligent Model for Constructed Facilities Surface Assessment

Published:2000-12 Issue:6 Volume:126 Page:422-432
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

AbdelRazig Yassir A.¹²,Chang Luh-Maan¹²

Affiliation:

1. Asst. Prof., Dept. of Civ. Engrg., Florida A. & M. Univ.-Florida State Univ., Tallahassee, FL 32310-6046. E-mail: abdelraz@eng.fsu.edu

2. Assoc. Prof., Div. of Constr. Engrg. and Mgmt., School of Civ. Engrg., Purdue Univ., West Lafayette, IN 47907-1294. E-mail: changlm@ecn.purdue.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9364%282000%29126%3A6%28422%29

Reference16 articles.

1. AbdelRazig Y. ( 1999). “Construction quality assessment: A hybrid decision support model using image processing and neural learning for intelligent defects recognition.” PhD thesis Purdue University West Lafayette Ind.

2. Abraham D. Iseley T. Prasanth R. and Wirahadikusumah R. ( 1997). “Integrating sensing technologies for underground utilities assessment.” Proc. Fac. Mgmt. Comp. Conf. on Infrastruct. Condition Assessment: Art Sci. and Pract. Urban Transp. Div. ASCE New York 316–325.

3. Artificial neural networks for civil engineers: Fundamentals and applications. (1997). ASCE New York 19–43.

4. Developing Acceptance-Sampling Methods for Quality Construction

5. Croall I. F. and Mason J. P. ( 1992). Industrial applications of neural networks Springer New York.

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