Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3075
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dc.contributor.authorOraee, Kazemen_UK
dc.contributor.authorYazdani-Chamzini, Abdolrezaen_UK
dc.contributor.authorBasiri, Mohammad Houssainen_UK
dc.date.accessioned2017-08-24T00:27:02Z-
dc.date.available2017-08-24T00:27:02Zen_UK
dc.date.issued2011en_UK
dc.identifier.urihttp://hdl.handle.net/1893/3075-
dc.description.abstractMost management decisions at all levels of the organization are as directly or indirectly depends on the circumstance of future. With regard to predict the future events in the process of decision-making plays a main role, therefore, forecasting is very important for every organizations and institutions. There is a variety of methods to predict time series. In general, these techniques can be divided as following: statistical, artificial intelligence and analytical techniques. Two of the most common methods for time series prediction is autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) methods, these methods are the subset of statistical and artificial intelligence techniques respectively. In this paper, a hybrid model of ARIMA and ANN models are employed to predict the number of fatal injuries in the USA underground coal mines. This research showed the result of hybrid model is better than split model.en_UK
dc.language.isoenen_UK
dc.publisherSociety for Mining, Metallurgy & Explorationen_UK
dc.relationOraee K, Yazdani-Chamzini A & Basiri MH (2011) Forecasting the Number of Fatal Injuries in Underground Coal Mines In: SME Annual Meeting & Exhibit and CMA 113th National Western Mining Conference 2011. 2011 SME Annual Meeting & Exhibit and CMA 113th National Western Mining Conference "Shaping a Strong Future Through Mining", Colorado, USA, 27.02.2011-02.03.2011. Colorado, USA: Society for Mining, Metallurgy & Exploration, pp. 297-301.en_UK
dc.rightsThe publisher has not yet responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectARIMAen_UK
dc.subjectANNen_UK
dc.subjectFatal injuriesen_UK
dc.subjectAmerican underground Coal Mineen_UK
dc.subjectStrength of materialsen_UK
dc.subjectCoal mines and miningen_UK
dc.subjectCoal mine accidentsen_UK
dc.titleForecasting the Number of Fatal Injuries in Underground Coal Minesen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-01en_UK
dc.rights.embargoreason[11-049.pdf] : The publisher has not yet responded to our queries. This work cannot be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.citation.spage297en_UK
dc.citation.epage301en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailsko1@stir.ac.uken_UK
dc.citation.btitleSME Annual Meeting & Exhibit and CMA 113th National Western Mining Conference 2011en_UK
dc.citation.conferencedates2011-02-27 - 2011-03-02en_UK
dc.citation.conferencelocationDenver, Colorado, USAen_UK
dc.citation.conferencename2011 SME Annual Meeting & Exhibit and CMA 113th National Western Mining Conference "Shaping a Strong Future Through Mining"en_UK
dc.citation.isbn9781617829727en_UK
dc.publisher.addressColorado, USAen_UK
dc.contributor.affiliationManagement Work and Organisationen_UK
dc.contributor.affiliationTarbiat Modares Universityen_UK
dc.contributor.affiliationTarbiat Modares Universityen_UK
dc.identifier.scopusid2-s2.0-80052436539en_UK
dc.identifier.wtid819318en_UK
dc.date.firstcompliantdepositdate2011-06-14en_UK
Appears in Collections:Management, Work and Organisation Conference Papers and Proceedings

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