THE USE OF ARTIFICIAL NEURAL NETWORKS IN ASPECTS OF CONSTRUCTION PRODUCTIVITY LEVELS ANALISYS

Julio Baeza, José González, Guillermo Salazar

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.


Keywords


Artificial neural networks; construction environment; feasibility analysis; classification; productivity levels estimating.

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