焦化行业价格预测模型与应用分析

焦化行业价格预测模型与应用分析

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时间:2019-01-31

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1、华中科技大学硕士学位论文—;——;————===——≈——=—=;——————%一ABSTRACTWiththeenteringtotheWTO,thecompetitionbetweentheenterprisesbecomesmoreandmoreintensive,andmuchofthecompetitionisontheprice.Soit'sveryimportanttoforecastandadjustthepriceaccuratelyandtimelyaccordingtothechangingofthemarketconditions.However'atpre

2、sentmostenterprisesforecastthepriceoftheirproductsnotbysciencemethodbutonlyqualitativeanalysis,anditdosenotwelladapttothecompetition.Theaimofthispaperistobuildaneffectivepriceforecastingmodelforcokingindustry.Atthebeginning,thispaperexplainsthefoundationalforecasttheories,discussesthefundament

3、alcategoryandprinciplesforforecastingandthebasicimplementsteps,andputsthefocusonthecomparisonofthesetwomethods---qualitativeanalysisandquantitativeanalysis.Then,thecokingindustryfeaturesandfactors,whichwillinfluencetheprice,areanalyzed.Withtheseanalyticalresults,themajorinfluencefactorsonprice

4、aredetermined.Throughthefurtherexplorationontherelationsbetweenthecokingproductpriceandthoseinfluencefactors,thispaperbuildssomeforecastingsub.modelsbasedondifferentinfluencefactorsrespectivelyandproposesacombinationforecastingmodelfromthem.ThemodelCantosomeextendavoidsomenegativeinfluencesofp

5、redictionprecisionfromtheinformationselectionbypeople’Ssubjectivity.AttheSametime,thismodelisalsomademoreeffectivebyadoptingaweightcoefficientcorrectmodeltoamendtheweightcoefficientofthecombinationforecastingmodeldynamically.InordertOpromotethemodel’Sadaptabilityandfullyconsidersomeinfluenceso

6、nthemodelprecisionfrommanyunpredictablefactorssuchasmarketsituationchangesandtechnologicalprogress,thehuman-machineharmonymechanismisintroducedtothismodel.Furthermore,thispaperdefmesvalidityforthemodelandprovideseffectiveverificationformulationsasthetheorybasisforevaluatingit.Attheendofthispap

7、er,thevalidityofthemodelisverifiedbythedatumfromCokingCorporationLTD.ofWuHanIronandSteelGroupCo.theresultsshowsthattheCombinationmode“Smoreaccurateandeffectivecomparedwitheachsub.model.Keywords:CombinationForecastingTimeSequenceRegressi

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