The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …

Artificial neural networks (ANNs) are systems that can learn. A neural system can be trained
on a set of input and output data belonging to a particular problem. If new data of the same …

The success of construction projects is a fundamental issue for most governments, users
and communities. In the literature that deals with construction project success and causes of …

There are numerous models proposed for construction cost estimation. Most of them are
based on projects' characteristics only while neglecting the external economic factors. This …

Estimating construction costs and predicting price escalation are major steps for project
owners, estimators, and contractors. The construction costs are always subject to …

Conceptual cost estimates are important to project feasibility studies and impact upon final
project success. Such estimates provide significant information that can be used in project …

Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …

The objective of this research was to develop a procedure that estimates the escalation of
highway construction costs over time. An artificial neural network model was developed …

Every month, Engineering News-Record (ENR) publishes the construction cost index (CCI),
which is a weighted aggregate index of the 20-city average prices of construction activities …

Conceptual cost estimates, the basis of project evaluation, engineering design, cost
budgeting, and cost management, not only play an essential role in construction project …