Estimating Labor Productivity Using Probability Inference Neural Network

Author:

Lu Ming123,AbouRizk S. M.123,Hermann Ulrich H.123

Affiliation:

1. PhD Candidate, Dept. of Civ. and Envir. Engrg., Univ. of Alberta, Edmonton, AB, Canada T6G 2G7. E-mail: mlu@gpu.srv.ualberta.ca

2. Prof., Dept. of Civ. and Envir. Engrg., Univ. of Alberta, Edmonton, AB, Canada T6G 2G7. E-mail: smabourizk@civil.ualberta.ca

3. Dist. Constr. Engr., PCL Industrial Constructors, Inc., Edmonton, AB, Canada T6E 3N7. E-mail: rhhermann@pcl.ca

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference12 articles.

1. Combined Discrete-Event/Continuous Simulation for Project Planning

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

3. Karshenas S. and Feng X. ( 1992). “Application of neural networks in earthmoving equipment production estimating.” Proc. 8th Conf. Computing in Civ. Engrg . ASCE New York 841–847.

4. Knowles P. ( 1997). “Predicting labor productivity using neural networks.” MS thesis University of Alberta Edmonton Alta. Canada.

5. Kohonen T. ( 1995). Self-organizing maps Springer Ser. in Information Sci . Springer London.

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