Neural networks as a powerful tool in the hands of the manager

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dc.contributor.author Fraňo, Michal
dc.date.accessioned 2010-03-29T12:28:15Z
dc.date.available 2010-03-29T12:28:15Z
dc.date.issued 2007
dc.identifier Univerzitní knihovna (studovna) cze
dc.identifier.issn 1211-555X
dc.identifier.uri http://hdl.handle.net/10195/35580
dc.description.abstract Managers in their work use sophisticated procedures from many scientific branches. In order to make good decisions in the stretegic level of management, they can use for predictions relatively new and effective instruments like neural network algorithms GMDH and Backpropagation. Their contribution is shown in an example from the transportation enterprise. There is a time series with 192 values of manipulated transport units per month. The expert estimations made by the manager working in the transportation enterprise, which were made on the basis of technological knowledge and experience, were compared with the estimations made by above mentioned neural network prediction algorithms. In this comparison the benefit of using neural networks is evident. In the hands of a manager the neural networks are a powerful tool to increase the benefit of the enterprise. eng
dc.format p. 58-65 eng
dc.language.iso eng
dc.publisher Univerzita Pardubice cze
dc.relation.ispartof Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 12 (2007) eng
dc.rights Bez omezení cze
dc.subject backpropagation eng
dc.subject estimation eng
dc.subject external criteria of quality eng
dc.subject forecasting eng
dc.subject GMDH eng
dc.subject mean prediction error eng
dc.subject operational research eng
dc.subject Optimization eng
dc.subject prediction eng
dc.title Neural networks as a powerful tool in the hands of the manager eng
dc.type Article eng
dc.identifier.signature 47940-12
dc.peerreviewed yes eng
dc.publicationstatus published eng


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