Prediction of Construction Cost for Field Canals Improvement Projects in Egypt

05/20/2019
by   Haytham H. Elmousalami, et al.
0

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.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

06/08/2011

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

Estimating of the overhead costs of building construction projects is an...
10/14/2019

I.T. Project Success: Practical Frameworks based on key Project Control Variables

The objectives of this study were to research into the interdependencies...
12/28/2010

Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection

Software cost estimation is one of the prerequisite managerial activitie...
02/23/2021

Data-driven analysis of central bank digital currency (CBDC) projects drivers

In this paper, we use a variety of machine learning methods to quantify ...
04/26/2019

Digitally Capturing Physical Prototypes During Early-Stage Product Development Projects for Analysis

Aiming to help researchers capture early-stage Product Development (PD) ...
03/18/2021

Towards an Understanding of Why and How ICT Projects Are Initiated: Analysis via Repertory Grid

Contemporary business innovation relies increasingly on information and ...
01/12/2018

Benchmarking cross-project defect prediction approaches with costs metrics

Defect prediction can be a powerful tool to guide the use of quality ass...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.