Automated Risk Analysis for Construction Contracts Using Neural Networks

Author:

Hamdy Khaled1,AbdelRasheed Ibrahim1,Essawy Yasmeen A. S.2,Gamal ElDeen Ahmed3

Affiliation:

1. Professor of Construction Projects Management, Structural Engineering Dept., Ain Shams Univ., Cairo 1151, Egypt.

2. Assistant Professor of Construction Projects Management, Structural Engineering Dept., Ain Shams Univ., Cairo 1151, Egypt; American Univ. in Cairo, Cairo, Egypt.

3. Ph.D. Candidate of Construction Projects Management, Structural Engineering Dept., Ain Shams Univ., Cairo 11431, Egypt (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Reference44 articles.

1. Process Model for Administrating Construction Claims

2. Perceptron Learning in Engineering Design

3. Evaluation of the impact of risk management on project performance in small construction firms in South Africa: The case study of construction systems;Amoah C.;J. Eng. Des. Technol.,2020

4. Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects

5. Bannaga E. 2015. “Understanding the mutual influence of contract and subcontract terms on construction relationships.” Doctoral dissertation Law Dept. The British Univ. in Dubai.

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