Prediction of Construction Cost for Field Canals Improvement Projects in Egypt

Domain:

environment and energy

Record type:

paper

Creator:

Elm

Host:

Field canals improvement projects (FCIPs) are one of the ambitious projects constructed to save fresh water. To finance this project, Conceptual cost models are important to accurately predict preliminary costs at the early stages of the project. The first step is to develop a conceptual cost model to identify key cost drivers affecting the project. Therefore, input variables selection remains an important part of model development, as the poor variables selection can decrease model precision. The study discovered the most important drivers of FCIPs based on a qualitative approach and a quantitative approach. Subsequently, the study has developed a parametric cost model based on machine learning methods such as regression methods, artificial neural networks, fuzzy model and case-based reasoning.

Visit

arxiv.org

A Neural Network Model for Construction Projects Site Overhead Cost Estimating in Egypt

Estimating of the overhead costs of building construction projects is an important task in the manag

Exploring the Components of Cost on Construction Projects

This study examines the components of construction projects and whether there are construction resou

A PARAMETRIC COST ESTIMATING MODEL OF WALL FINISHES COST RELATIVE TO TOTAL CONSTRUCTION COST USING CONSTRUCTION COST INDICES OF RESIDENTIAL BUILDING PROJECTS IN SOUTH-WESTERN NIGERIA

Data Description Dataset Title Parametric Cost Estimating Model of Wall Finishes Cost Relative to

A computer-based cost prediction model for institutional building projects in Nigeria

Purpose – The purpose of this study was develop a computer-based cost prediction m

Modeling Delay Percentage of Construction Projects in Egypt Using Statistical-Fuzzy Approach

A-Shahat/Egypt-Healthcare-Cost-Prediction

Predicting annual healthcare expenditures using demographic and clinical features — built with Pytho