explaining engine 中文意思是什麼
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Using framework inference and researching strategy of prior part, 1 build inference engine of expert system of motor fault diagnosis. utilizing feature analogy learning method, complete mechanism of instance learning of expert system. while the system records process of diagnosis and route of researching, realize explaining control strategy by report
利用框架推理，以局部符合的深度優先搜索構建電機故障診斷專家系統的推理機，利用屬性類比學習法實現專家系統事例學習機制。採用記錄診斷過程，和搜索路線通過報表實現解釋機制。 -
An especial mode has been adopted to realize this system, which is different from the conventional mode of realizing expert system. it includes the two aspects : one is using modern database technology to organizing the repository of ipdaes and other aiding databases in order to realize sharing data ; the other is using advanced programming language with the character of object - oriented to realize the inference engine of ipdaes, which absorbs the heuristic merits of windows " helping systems to make the reasoning process easily understood by the means of including the explaining module into the inference engine
系統採用了與傳統專家系統實現不同的方式：以數據庫的形式實現知識庫，將知識庫與其他輔助數據庫融合在一起，方便數據共享和傳遞；面向對象高級語言與數據庫管理系統相結合以實現推理機制，借鑒windows標準幫助系統啟發式幫助用戶一步一步地尋找故障原因的優點，將解釋功能蘊含于推理求解的過程中，使之趨於人性化，推理過程更清晰，更易理解和使用。 -
This work is contributed to the design and the construction of the traditional expert system part of the mixed system. firstly, we deal with sample data provided by a bank in fujian and abstract financial ratios by statistical methods ; secondly, we construct knowledge base according to area - knowledge of credit assessment, and design a priority - based forward - inference engine and a fact - based automatic explaining mechanism ; thirdly, we adopt object - oriented technology to analysis the system and construct object model and functional model of expert system ; finally, by using access database to construct system knowledge base, and c + + builder software to program, we develop a credit assessment prototype system based on mix - expert system
以某銀行提供的企業樣本數據為基礎，在完成對樣本數據處理、抽取財務比率等基本工作后，根據信用評價領域知識的特點構建了系統的知識庫，設計了基於優先級的正向推理機制與基於事實的自動解釋機制，然後採用面向對象技術對系統進行分析，建立專家系統的對象模型和功能模型，在此基礎上，採用access數據庫設計系統的知識庫，採用c + + builder開發軟體實現了基於混合型專家系統的可視化信用評價系統原型。
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