An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects
出版年份 2020 全文链接
标题
An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects
作者
关键词
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出版物
Applied Sciences-Basel
Volume 10, Issue 15, Pages 5171
出版商
MDPI AG
发表日期
2020-07-28
DOI
10.3390/app10155171
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Environmental impacts and cost overrun derived from adjustments of a road construction project setting
- (2020) Jackson Dullius Pilger et al. JOURNAL OF CLEANER PRODUCTION
- Recent Developments in Construction Post Contract Cost Control Systems
- (2020) Uchenna Sampson Igwe et al. Journal of Computational and Theoretical Nanoscience
- An Approach Based on Bayesian Network for Improving Project Management Maturity: An Application to Reduce Cost Overrun Risks in Engineering Projects
- (2020) Felipe Sanchez et al. COMPUTERS IN INDUSTRY
- Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
- (2020) Nadia D. Roman et al. ENERGY AND BUILDINGS
- Multi-component spectral detection based on neural network in water quality inspection
- (2020) Yinshan Yu et al. OPTIK
- Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls
- (2019) James Bewes et al. Journal of Forensic and Legal Medicine
- The accuracy of benefit-cost analyses (BCAs) in transportation: An ex-post evaluation of road projects
- (2019) James Odeck et al. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
- The impact of applying effort to reduce activity variability on the project time and cost performance
- (2019) Annelies Martens et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- The cost performance of transportation projects: The fallacy of the Planning Fallacy account
- (2019) Peter E.D. Love et al. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
- Risk assessment of process systems by mapping fault tree into artificial neural network
- (2019) Makhambet Sarbayev et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Examining the role of value management in controlling cost overrun [application on residential construction projects in Egypt]
- (2019) Laila M. Khodeir et al. Ain Shams Engineering Journal
- Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
- (2019) Nurul Hila Zainuddin et al. APPLIED SOFT COMPUTING
- Monitoring complexity and resilience in construction projects: The contribution of safety performance measurement systems
- (2019) Guillermina Andrea Peñaloza et al. APPLIED ERGONOMICS
- Cost-optimal design of pressure-based monitoring networks for carbon sequestration projects, with consideration of geological uncertainty
- (2018) Hoonyoung Jeong et al. International Journal of Greenhouse Gas Control
- Performance of Low-Cost Country Sourcing Projects – Conceptual Model & Empirical Analysis
- (2018) Roger Moser et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Simulation-based construction productivity forecast using Neural-Network-Driven Fuzzy Reasoning
- (2016) Farid Mirahadi et al. AUTOMATION IN CONSTRUCTION
- The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics
- (2013) Ramakrishnan Iyer et al. PLoS Computational Biology
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