Using Neural Network in the Design of Petrochemical Industry Relationship Information System

碩士 === 國立交通大學 === 資訊管理研究所 === 83 === The purpose of this study is tried to explorate the characteristics of the linkage of products in of industry and further more to develop a petrochemical industry relationship based investment informatio...

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Bibliographic Details
Main Authors: Liu, Jun-Jie, 柳均杰
Other Authors: Chen, An-Pin
Format: Others
Language:zh-TW
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/87945955548779001944
Description
Summary:碩士 === 國立交通大學 === 資訊管理研究所 === 83 === The purpose of this study is tried to explorate the characteristics of the linkage of products in of industry and further more to develop a petrochemical industry relationship based investment information system .The system is developed to handle the fluctuation of the prices of petrochemicals and to analyze the relationship between the upstream and downstream of petrochemical industry. In order to achieve this goal two main portions of this system are created in the research:the basic date preprocess information system and a neural network model. Firstly, three modules under the basic data process information system shell are built : raw data collection, graphical analysis and industry relationship analysis. The products relationship between upstream and downstream obtained from the petrochemicals is usually not sufficient enough or is so-call semi-structural information.Secondly,a neural network model which is used to connect in the our information system is created to link or transform the influence of the trend of activities of industry. Finally,a neural network based petrochemical industry information system is built .And an empirical study regarding to the SM,AN and SBR product series is selected and analyzed in the system .The results is shown how the new model can transform the influence of the petrochemical products price,quantity and trend from upstream to downstream and its corresponding statistical analysis.