Classifying Construction Contractors Using Unsupervised-Learning Neural Networks-Reference-Cited by-同舟云学术

Classifying Construction Contractors Using Unsupervised-Learning Neural Networks

Published:2006-12 Issue:12 Volume:132 Page:1242-1253
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Elazouni Ashraf M.¹

Affiliation:

1. Assistant Professor, Construction Engineering and Management Dept., King Fahd Univ. of Petroleum & Minerals, P.O. Box 346, Dhahran 31261, Saudi Arabia.

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%282006%29132%3A12%281242%29

Reference29 articles.

1. An unsupervised learning technique for artificial neural networks

2. Elazouni A. (2006). “Comparison of cluster analysis and unsupervised-learning neural networks in classifying construction contractors.” Proc. 1st Int. Construction Specialty Conf. Canadian Society for Civil Engineering Calgary Canada CT-107 1-10.

3. Cluster Analysis

4. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors

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