Neural Networks in Modelling Maintenance Unit Load Status
Anđelko Vojvoda, Hrvoje Gold
Promet (Zagreb) · 2002
doi:10.7307/ptt.v14i2.851 (opens in a new tab)
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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.
Abstract licence: CC BY
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