SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Estimating Project S-Curves Using Polynomial Function and Neural Networks
5 references·4 citing·24 second hop
Estimating Project S-Curves Using Polynomial Function and Neural Networks (2009)Estimating Project S-Curves Using Polynom…Neural Network Method of Estimating Construction Technology Acceptability (1995)Neural Network Method of Esti…Modelling standard cost commitment curves for contractors' cash flow forecasting (1993)Modelling standard cost commi…An S-curve equation for project control (1989)An S-curve equation for proje…A construction project cash flow model—an idiographic approach (1986)A construction project cash f…Application of Cost-Flow Forecasting Models (1982)Application of Cost-Flow Fore…The S-Curve as a Tool for Planning and Controlling of Construction Process—Case Study (2020)The S-Curve as a Tool for Pla…Methodology of Planning the Course of the Cumulative Cost Curve in Construction Projects (2020)Methodology of Planning the C…The S-curve envelope as a tool for monitoring and control of projects (2017)The S-curve envelope as a too…A Model for Updating Project S-curve by Using Neural Networks and Matching Progress (2009)A Model for Updating Project …The analytic hierarchy process : planning, priority setting, resource allocation (1980)Evaluation of Advanced Construction Technology with AHP Method (1992)Estimating Construction Productivity: Neural‐Network‐Based Approach (1994)Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes (2001)Nonlinear Models for Predicting Hoisting Times of Tower Cranes (2002)The diffusion of innovations within a UKCI context: an explanatory framework (2005)The use of artificial neural networks in construction management: a review (1996)A neural networks approach for cost flow forecasting (1998)Methodology (1969)Idiographic goals and methods in the study of lives (1983)The role of managerial actions in the cost, time and quality performance of high-rise commercial building projects (1985)Net cashflow models: Are they reliable? (1991)An evaluation of risk factors impacting construction cash flow forecast (2008)Monitoring systems and their effectiveness for project cost control in construction (2002)Project cash flow analysis in the presence of uncertainty in activity duration and cost (2011)- Project Management Body of Knowledge (2013)A comparison of different project duration forecasting methods using earned value metrics (2005)Risk assessment of construction projects (2010)Analysis of Delay Impact on Construction Project Based on RII and Correlation Coefficient: Empirical Study (2017)Project management : a systems approach to planning, scheduling, and controlling (1995)Financing Construction: Cash Flows and Cash Farming (2003)A novel multiple linear regression model for forecasting S‐curves (2006)Towards more flexible and accurate cash flow forecasting (1996)Construction management and economics: the epistemology of a multidisciplinary design science (2009)
this work references cited by second hop

References

  • 1986A construction project cash flow model—an idiographic approach92 cited
  • 1993Modelling standard cost commitment curves for contractors' cash flow forecasting75 cited
  • 1989An S-curve equation for project control65 cited
  • 1995Neural Network Method of Estimating Construction Technology Acceptability59 cited
  • 1982Application of Cost-Flow Forecasting Models54 cited

Cited by

  • 2009A Model for Updating Project S-curve by Using Neural Networks and Matching Progress40 cited
  • 2017The S-curve envelope as a tool for monitoring and control of projects38 cited
  • 2020Methodology of Planning the Course of the Cumulative Cost Curve in Construction Projects34 cited
  • 2020The S-Curve as a Tool for Planning and Controlling of Construction Process—Case Study32 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work