过程工业中的知识发现/数据挖掘的研究

研究知识发现/数据挖掘在过程工业中应用的基础理论与实用技术，探讨决策树、粗糙集、嬖蚬槟煞ā⑸窬纭⒁糯惴ǖ燃际醯淖酆嫌τ梅椒ǎ岢鲂掠笔涤玫脑げ饽Ｐ汀⑼评砉嬖颍饩霾痪贰⒉蝗范ㄖ兜姆⑾治侍猓迪止坦ひ底酆献远峁┮恢中碌墓滔低臣际酢１鞠钛芯渴巧婕岸嘌Э频摹⒋葱滦缘摹⒕哂泄憷τ们熬暗那把匦钥翁狻

Abstract There are huge informations in the Process industrial system which is more complex. It is very important to analyze, estimate and optimize the system by using the technology of the knowledge discovery in database.This project deals with process system engineering, computer science and technology, automation and management engineering. Combining the theory research with simulation experiment and industrial practise, we study on the decision-making tree, rough set, association rule, artificial neural network, and genetic algorithm as well as their synthesis application methodology.Then the novel algorithm and application method are proposed to discovery knowlodge in the production information and management information. The research results shown that the data mining techniques are applicable to the industrial production and management problems. Clearly, that is also applicable to the real-time information estimation and fail diagnosis in the process industry.