THE USE OF ARTIFICIAL NEURAL NETWORKS IN ASPECTS OF CONSTRUCTION PRODUCTIVITY LEVELS ANALISYS
Abstract
This paper presents some of the results obtained in applying Artificial Neural Networks (ANN), Knowledge-Based Expert Systems (KBES), and Discrete Event Simulation technologies to different aspects of construction analysis and estimation. A brief introduction on the major problems in construction appraisal and analysis is presented. The basic approach proposed for applying Neural Networks technology to construction environment classification, construction methods feasibilityanalysis, and overall productivity rates estimation under circunstances of construction environment variability is then described. This paper concludes with an indication of areas for furtherdevelopment and conclusions.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Julio Baeza Pereyra, José González Fajardo, Guillermo Salazar Ledezma
This work is licensed under a Creative Commons Attribution 4.0 International License.