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Prediction Of Steel Price Trend Based On SVM

Posted on:2021-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:G Y KeFull Text:PDF
GTID:2480306500475424Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
This paper attempts to integrate industry analysis into model prediction.Starting from the analysis of the steel industry,the paper systematically analyzes the steel industry from the macro industrial cycle to the micro supply-demand relationship,and then analyzes the influencing factors and formation of the steel price.Based on the analysis of these industries,a specific model prediction method is proposed,and the pretreatment factors of the industry analysis are emphasized before using the model prediction.After model prediction,the problems and advantages of the model are explained according to industry analysis,and we try to improve this model.The improved result is superior to the previous one.
Keywords/Search Tags:Steel Industry, Industrial Cycle, Commercial Circle, Black Futures, Support Vector Machines, Seasonal Factors, BP Neural Network
PDF Full Text Request
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