Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity-Reference-Cited by-同舟云学术

Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity

Published:2015-10 Issue:10 Volume:141 Page:04015032
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Heravi Gholamreza¹,Eslamdoost Ehsan²

Affiliation:

1. Assistant Professor, School of Civil Engineering, College of Engineering, Univ. of Tehran, 16 Azar Ave., P.O. Box 11155-4563, Tehran, Iran (corresponding author).

2. Former Postgraduate Student, School of Civil Engineering, College of Engineering, Univ. of Tehran, 16 Azar Ave., P.O. Box 11155-4563, Tehran, Iran.

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%29CO.1943-7862.0001006

Reference46 articles.

1. Estimating Labor Production Rates for Industrial Construction Activities

2. Factors affecting the productivity of building craftsmen—Studies of Uganda;Alinaitwe H. M.;J. Civ. Eng. Manage.,2007

3. Estimating Construction Productivity: Neural‐Network‐Based Approach

4. Coefficient alpha and the internal structure of tests

5. Construction Craft Workers’ Perceptions of the Factors Affecting Their Productivity

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