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In The Application Of Power Battalion Sells Based On The Decision Analysis System Of Bayesian Network

Posted on:2011-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:M L GaoFull Text:PDF
GTID:2189360308453693Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
Decision-making with so many uncertainties, largely because the system itself of Mo Hu Xing and decision-making itself, not the accuracy of cause of, addition Renleirenshi ability Xianzhi knowledge and objective reality and the relatively big difference, uncertainty Shide decision-making more difficult a lot, so the decision-making under uncertainty and decision theory analysis methods become an important part of decision-making.In this paper, taking"Transformer Winding Deformation"as the research object and according to the basic principles of frequency response method, the author completed the hardware and software design for the transformer winding deformation system.However, in recent years, with the decision theory and artificial intelligence technology, there has been a wide range of solution to the problem of uncertainty, such as evidence theory, Bayesian networks, fuzzy set and rough set so. However, in these methods, the Bayesian network with the probability theory as a mathematical basis graphics mode, with excellent communication skills and strong reasoning ability of Deng's many advantages, in uncertain reasoning has a strong advantage so as Jin Modern scientists uncertain focus of theoretical research.This test system is split design. First, the relevant information of transformer winding is collected by test equipment and then is uploaded to the PC for processing, calculation and analysis. The results can indicate whether the winding deformed and the deformation degree. If the winding deformed, the deformation type can be checked by PC diagnostic software. This test method provides a reference for carrying out in-depth deformation diagnosis of transformer winding and has a good prospect.Bayesian probability theory and graph theory is the product of the combination, it provides a convenient tool to deal with mathematics and engineering throughout the two common issue that uncertainty and complexity. In 80 years, Bayesian networks are mostly used in expert system, used to represent uncertain knowledge and reasoning problems. But with the expanded scale in recent years, database, Bayesian network of Kaishi slowly applied database data mining, which in turn provides very effective decision making that is now Bayesian networks have become knowledge discovery in database and decision analysis system the most effective method.This paper analyzes the status quo of modern electric power enterprise marketing, decision analysis systems theory on a detailed and systematic introduction to decision analysis in the analysis of the status of system development based on the proposed power marketing decision support system's overall framework. Of the decision analysis system and power marketing decision support system for further study, the Bayesian network technology into the power marketing in the past proposed the use of Bayesian network analysis model to improve the overall utility and decision analysis software intelligence, makes the business decision-making management more scientific and reasonable to reduce their operational risks are very real significance.
Keywords/Search Tags:Decision Support Systems, Power Marketing, Bayesian Network, Data Mining
PDF Full Text Request
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