Advanced Search
MyIDEAS: Login to save this article or follow this journal

Neuronet Modelling of the Processes of Budgeting and Use of Labour Resources at Coal Mining Enterprises

Contents:

Author Info

  • Hlinska Olha M.

    (Donbas State Technical University)

  • Parkhomenko Sergiy O.

    (Donbas State Technical University)

  • Khmelyova Anhelina V.

    ()
    (Donbas State Technical University)

Registered author(s):

    Abstract

    The article considers issues of efficient budgeting and use of labour resources at coal mining enterprises. It proves expediency of use of modern neuronet, namely, multilayer perceptron, for solution of tasks of modelling the process of budgeting and use of labour resources at coal mining enterprises. It shows that Statistika is the best software package for creation of neuronets of the multilayer perceptron architecture. On the basis of analysis and comparative characteristic the article selects the topology and builds a neuronet model of budgeting and use of labour resources at coal mining enterprises.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.business-inform.net/pdf/2014/1_0/73_77.pdf
    Download Restriction: no

    Bibliographic Info

    Article provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.

    Volume (Year): (2014)
    Issue (Month): 1 ()
    Pages: 73_77

    as in new window
    Handle: RePEc:idp:bizinf:y:2014:i:1:p:73_77

    Contact details of provider:
    Web page: http://www.business-inform.net

    Related research

    Keywords: budgeting; labour resources; neuronet; model; optimisation;

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:idp:bizinf:y:2014:i:1:p:73_77. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexey Rystenko).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.