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Construction Management and Economics Volume 29, 2011 - Issue 9
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Articles

Prediction of schedule performance of Indian construction projects using an artificial neural network

Kumar Neeraj Jha Department of Civil Engineering, IIT, Delhi, IndiaCorrespondence[email protected]
&
CT Chockalingam Larsen & Toubro Limited, Chennai, India
Pages 901-911 | Received 04 Jul 2010, Accepted 24 Jul 2011, Published online: 14 Oct 2011

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Shen Zhang & Xuechun Li. (2023) A comparative study of machine learning regression models for predicting construction duration. Journal of Asian Architecture and Building Engineering 0:0, pages 1-17.
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Mohammed Taha Alqershy & Ravande Kishore. (2023) Construction claims prediction using ANN models: a case study of the Indian construction industry. International Journal of Construction Management 23:6, pages 1097-1108.
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Kamalendra Kumar Tripathi, Abid Hasan & Kumar Neeraj Jha. (2021) Evaluating performance of construction organizations using fuzzy preference relation technique. International Journal of Construction Management 21:12, pages 1287-1300.
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Yang Miang Goh & David Chua. (2013) Neural network analysis of construction safety management systems: a case study in Singapore. Construction Management and Economics 31:5, pages 460-470.
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Articles from other publishers (14)

Virender Kumar, Amrendra Pandey & Rahul Singh. (2023) Project success and critical success factors of construction projects: project practitioners’ perspectives. Organization, Technology and Management in Construction: an International Journal 15:1, pages 1-22.
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H. G. Abdulkareem & K. R. Erzaij. Prediction interdependency on the post-disaster reconstruction of Iraqi projects (neural network model). Prediction interdependency on the post-disaster reconstruction of Iraqi projects (neural network model).
Emil L. Jacobsen & Jochen Teizer. (2022) Deep Learning in Construction: Review of Applications and Potential Avenues. Journal of Computing in Civil Engineering 36:2.
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Muritala Adebayo Isah & Byung-Soo Kim. (2021) Assessment of Risk Impact on Road Project Using Deep Neural Network. KSCE Journal of Civil Engineering 26:3, pages 1014-1023.
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Temitope Omotayo, Awuzie Bankole & Ayokunle Olubunmi Olanipekun. (2020) An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects. Applied Sciences 10:15, pages 5171.
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Saraa Naseer Kadhim & Kadhim Raheim Erzaij. (2020) Prediction of the Performance Related to Financial Capabilities Using Multilayer Perceptron. IOP Conference Series: Materials Science and Engineering 870:1, pages 012046.
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Alexey Beskopylny, Alexandr Lyapin, Hubert Anysz, Besarion Meskhi, Andrey Veremeenko & Andrey Mozgovoy. (2020) Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests. Materials 13:11, pages 2445.
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Gebrehana Derbe, Yashuai Li, Di Wu & Qiuhong Zhao. (2020) SCIENTOMETRIC REVIEW OF CONSTRUCTION PROJECT SCHEDULE STUDIES: TRENDS, GAPS AND POTENTIAL RESEARCH AREAS. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26:4, pages 343-363.
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Ming Shan, Yun Le, Albert P.C. Chan & Yi HuMing Shan, Yun Le, Albert P. C. Chan & Yi Hu. 2020. Corruption in the Public Construction Sector. Corruption in the Public Construction Sector 155 179 .
Min-Yuan ChengYu-Han Chang & Dorcas Korir. (2019) Novel Approach to Estimating Schedule to Completion in Construction Projects Using Sequence and Nonsequence Learning. Journal of Construction Engineering and Management 145:11.
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Weslei Gomes de Sousa, Elis Regina Pereira de Melo, Paulo Henrique De Souza Bermejo, Rafael Araújo Sousa Farias & Adalmir Oliveira Gomes. (2019) How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly 36:4, pages 101392.
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H. Anysz & B. Buczkowski. (2018) The association analysis for risk evaluation of significant delay occurrence in the completion date of construction project. International Journal of Environmental Science and Technology 16:9, pages 5369-5374.
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Ming Shan, Yun Le, Kenneth T. W. Yiu, Albert P. C. Chan, Yi Hu & You Zhou. (2018) ASSESSING COLLUSION RISKS IN MANAGING CONSTRUCTION PROJECTS USING ARTIFICIAL NEURAL NETWORK. Technological and Economic Development of Economy 24:5, pages 2003-2025.
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Isaac Mensah, Theophilus Adjei-Kumi & Gabriel Nani. (2016) Duration determination for rural roads using the principal component analysis and artificial neural network. Engineering, Construction and Architectural Management 23:5, pages 638-656.
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