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Study On The Expert System Of Highway Soft Clay Ground Processing Technology Dscision-making

Posted on:2008-10-21Degree:MasterType:Thesis
Country:ChinaCandidate:G Z WangFull Text:PDF
GTID:2132360278455953Subject:Geotechnical engineering
Abstract/Summary:PDF Full Text Request
This dissertation studies how to use artificial intelligence,knowledge engineering,fuzzy mathematics,decision analysis,computer technology and so on to develop an expert system which is about highway soft clay ground processing technology decision-making.The study is based on synthetical considerating the konwledge characteristic and thorough researching plan-making questions in processing highway soft clay ground.①It studies the generality of the expert system,emphatically studies the expert system application technology in processing road soft soil ground,then the feasibility of the research is raised.②The theoretical knowledge and experts' experience are collected and reorganized.Through unifying the expert system's principle of work and experts' thinking mode,the knowledge expression form based on production rule is proposed and this system's knowledge base is established.③There are massive uncertainty,randomness and fuzziness existing in processing highway soft clay ground,the dissertation proposes use confidence level method and fuzzy theory method which are contained in uncertainty inference method to carry on the inference,the inference model is built.④The membership functon and inference rule of fuzzy decision-making model are determined,the various rules' confidence leve are given by experts.⑤The dissertation researches and developes reasoning machine through simulating experts' thought characteristic. The overall structure,the inference direction,the inference process,the control strategy and the conflict resolution strategy of this expert sysytem's reasoning machine are proposed. This article achievement is advantageous in enhancing the digitization and the intellectualization of soft base processing technology decision-making,it also can provides certain help for relevanttechnical staff.
Keywords/Search Tags:soft clay ground, expert system, production rule, knowledge base, reasoning machine, confidence leve, uncertainty inference, fuzzy inference
PDF Full Text Request
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