Neural Networks in Modelling Maintenance Unit Load Status

  • Anđelko Vojvoda
  • Hrvoje Gold
Keywords: Artificial Intelligence, expert systems, neural networks, maintenance, logistic analysis

Abstract

This paper deals with a way of applying a neural networkfor describing se1vice station load in a maintenance unit. Dataacquired by measuring the workload of single stations in amaintenance unit were used in the process of training the neuralnetwork in order to create a model of the obse1ved system.The model developed in this way enables us to make more accuratepredictions over critical overload. Modelling was realisedby developing and using m-functions of the Matlab software.

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How to Cite
1.
Vojvoda A, Gold H. Neural Networks in Modelling Maintenance Unit Load Status. PROMET [Internet]. 1 [cited 2019Dec.7];14(2):85-1. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/851
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