Neural modeling of the truck vehicle operation system

Abstract

The purpose of the work is to develop a model of a truck maintenance system using artificial intelligence methods. Based on a thorough analysis of the literature, criteria and characteristics have been defined that affect the maintenance system of vehicles. Trucks with a permissible total weight of 3.5 tons were tested, which provide transport services in Poland and constitute a fleet of transport companies from the SME sector. MLP (Multi-Layered Perceptron) neural networks were modeled by using computer software.