Prediction of Engineering Performance: A Neurofuzzy Approach-Reference-Cited by-同舟云学术

Prediction of Engineering Performance: A Neurofuzzy Approach

Published:2005-05 Issue:5 Volume:131 Page:548-557
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Georgy Maged E.¹²³,Chang Luh-Maan¹²³,Zhang Lei¹²³

Affiliation:

1. Assistant Professor, Division of Construction Engineering and Management, Structural Engineering Dept., Faculty of Engineering, Cairo Univ., Giza, Egypt.

2. Associate Professor, Division of Construction Engineering and Management, School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907.

3. Project Manager, Bovis Lend Lease Japan, Tokyo, Japan.

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%282005%29131%3A5%28548%29

Reference31 articles.

1. Chalabi A. F. Beaudin B. J. and Salazar G. F. (1987). “Input variables impacting design effectiveness.” Rep. No. SD-26 Construction Industry Institute Austin Tex.

2. Chang L. M. Georgy M. E. and Zhang L. (2001). “Engineering productivity measurement.” Research Rep. No. RR156-11 Construction Industry Institute Austin Tex.

3. Costs and Benefits of Computerization in Design and Construction

4. Measuring Design and Construction Quality Costs

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