inference strategy 中文意思是什麼
inference strategy
解釋
推理策略-
A strategy specification, which is specified by a state chart and defeasible rules, can be dynamically plugged into an agent shell incorporating a state chart interpreter and a defeasible logic inference engine, in order to yield a desirable agent
使用狀態圖和可廢止邏輯規則說明談判策略，將其動態地插入到一個集狀態解釋器和可廢止邏輯推理引擎於一體的代理殼中，就可以獲得所需要的自動談判代理。 -
The intelligence agent technology is an approach to automatic negotiation. the paper presents a flexible and effective method of development of negotiating agents. a strategy specification, which is specified by a state chart and defeasible rules, can be dynamically plugged into an agent shell incorporating a state chart interpreter and a defeasible logic inference engine, in order to yield a desirable agent
智能代理技術是實現自動談判的有效途徑，本文提供靈活有效的談判代理開發方法，使用狀態圖和可廢止邏輯規則說明談判策略，動態地插入到一個集狀態解釋器和可廢止邏輯推理引擎於一體的代理殼中，就可以獲得所需要的自動談判代理。 -
What flow is that, we use model simulation to analyze the em algorithm contraction ratio. through network simulating, we analyze the factors which can influence loss inference algorithm accuracy like measurement strategy or routing algorithm. we analyze the accuracy and contraction characteristic of multicast - based direct algorithm and em algorithm, and compare the error factor between them
實驗中通過網路模擬模型，確定了em演算法的收斂速率;研究了不同測量策略和路由器擁塞避免演算法對丟包率推理演算法準確率的影響;分析了單點多播的de和em演算法準確性、收斂性等特徵，通過比較兩種演算法的統計誤差，得出em演算法略優于de演算法的結論。 -
The realization method of inference engine is adopted from the direct reasoning strategy. some organizations and index policies were used to accelerate speed of reasoning
在推理機制的實現上，採用的是正向推理的推理策略，並採取一定的組織和索引策略提高推理速度。 -
The main topics include : 1 ) an introduction to expert systems, it ' s components, characteristics, inference strategy methods, knowledge representations, and general stages in the development of an expert system
主要的論題包括： 1 ）專家系統的介紹，它的組成，特性，推理策略方法，知識陳述和開發專家系統的一般階段。 -
The aspects from the collection, acquisition, expression of knowledge, the construction, maintenance of knowledge base and the inference engine control strategy to the user interface, orientation - object modularization design, fuzzy evaluation sub - system are discussed
從知識收集、獲取、表示以及知識庫的結構、推理機的控制策略、人機介面、知識庫的維護、面向對象的模塊化設計以及模糊評價子系統等方面進行了探討。 -
As these methods exist shortages, advanced diagnosis strategy is presented, which combines the fuzzy neural network instead of fuzzy inference to rules inference. the problem of accuracy ratio decline because of roughness of fuzzy synthesizing algorithm has been solved. an example of car diagnosis is given and validity of this method has been proved
因此本章提出了以模糊神經網路代替模糊推理並與規則推理相結合的先進診斷策略，解決了因模糊合成演算法的粗糙性使診斷成功率下降或診斷錯誤的問題，並給出了一個車輛故障診斷實例，驗證了上述方法的正確性和有效性。 -
From the technique of database realizing, discuss the structure of fuzzy diagnosis expert system, knowledge base, inference engine and the database realizing. what ' s more, discuss the system structure of distributed fuzzy diagnosis expert system, the decomposition strategy of diagnosis assignment in and the distributed fuzzy diagnosis expert harmonizing and control of multi - level blackboard model, realize the distributed fuzzy expert diagnosis by database
從數據庫實現技術的角度出發，論述了模糊診斷專家系統的系統結構、知識庫結構、推理機制以及系統的數據庫實現，從而進一步闡述分散式模糊診斷專家系統的系統框架、分散式系統的診斷任務的分解策略以及多級黑板結構的分散式模糊診斷專家的協調與控制，實現利用數據庫技術的分散式模糊專家診斷。 -
At last the paper uses fully learning data according celts, constructs theory and methord of implementing system. the theory has two aspects : gives imprecise learning methords using rules when sequencing initially, such as introducing, narrating emphases and so on ; during the process of learning, we construct a fuzzy evaluating model using the data of scores, learning time and browsing times, and adjust scores with learning objects. then we can inference more precice learning strategy based on the result of evaluation, such as searching previous knowledge units, learning current knowledge units repeatly
該原理主要體現在兩個方面：一是在初始編列時，根據規則的匹配與調用可以實現較為粗略的教學方法指導，如一般性介紹、重點講述等；二是在過程導學當中，針對最具代表性的測驗成績、學習時間、瀏覽次數的學習效果和行為，結合學習者的預期學習目標等因素進行適當的成績調整、時間改進等處理，並運用模糊綜合評判的方法對學習者實施有效評價，以推理出在學習過程中較為細化的教學建議，如搜索前驅知識單元、重新學習當前知識單元等。 -
With c + + language, iods is composed of traditional optimization methods, knowledge base, inference machine, knowledge acquisition and graphic user interface ( gui ) in windows 2000. this integrated synthesis system performs the intelligentized optimization design for asrv, including the following items : production deduction strategy, knowledge handling technology, traditional optimization methods, evolutionary algorithms and the object - oriented strategy
此系統利用c + +語言在windows2000環境下編制而成，由優化演算法庫、知識庫、推理機制、知識錄入和圖形用戶界面等幾部分構成；該系統將產生式推理技術、知識處理技術、基於數學規劃的優化演算法、現代優化演算法以及面向對象程序設計方法綜合成一個有機的整體，形成了一個針對再入飛行器氣動布局優化設計的智能優化設計平臺。 -
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。 -
In the last part, depth schedule strategy based on fuzzy inference system ( fis ), and line - of - sight guidance in horizontal plane in the presence of unknown current are studied
該方法建立在對水下航行器的機動性能和水下環境等先驗知識的基礎上，突出優點是易於理解、操作和修改。 -
Be dead against to different field knowledge apply different inference strategy, apply different inference method to certain knowledge and uncertain knowledge, so make the design and evaluation inference more integrity
針對甘蔗收獲機械設計與評價專家系統領域知識的不同特點應用不同的推理策略，針對甘蔗收獲機械的確定性知識和不確定性知識應用不同的推理方法，使得對甘蔗收獲機械設計與評價推理更加完整。 -
At the end of the chapter, a multi - task fault diagnosis expert system is built and it runs under the control of mixed inference strategy. chapter five introduces the task part strategy following the idea of " part - fusion ". two kinds of synthetic models of same signal - based multi - feature information and muilt - signal - based information are discussed
第五章依據「分解一綜合」的故障診斷思想，介紹了設備故障診斷的任務分解策略，提出了同源多特徵信息綜合和異類多源信息綜合兩種典型綜合診司斷模型。 -
The paper explores the ai theories of developing the capp expert system, and fixes on the knowledge representation method of production rules, and the new thought of developing the knowledge base and the inference engine in the es tool clips, and introduces the theoretical knowledge of clips. the pape builds up the knowledge base about the process knowledge, invents the inference engine by the theories of control strategy of forward reasoning and rete pattern matching algorithm, with the result of improving the reliability of knowledge, the quality of inference and the efficiency of the searching. using the dynamic interface mechanism and the compiled dll, the paper embeds the clips program into the vc + + environment and carries out the mixed programming so as to achieve the data communication between the vc + + and clips
論文對開發capp專家系統的人工智慧理論作了比較深入的探討，確定了產生式規則的知識表示方法和用專家系統開發工具clips來開發系統的知識庫和推理機的新思路。在闡述了clips理論知識的基礎上，確定了以產生式規則構建工藝知識庫，以正向推理的控制策略和里德演算法的匹配模式建立推理機，從而提高了知識的可靠性、推理質量與搜索的效率。論文利用windows環境下的動態介面機制，調用已編譯好的動態鏈接庫clips . dll ，把所開發的clips程序嵌入到vc + +中再進行混合編程，實現了vc + +與clips程序的數據通信，成功地構建了capp專家系統。 -
It can be known that using pr ( product rule ) method combining with fs ( frame structure ) method can make knowledge expression more convenient and practical. using the " loose & tight coupling " style not only maked for the refresh, expand and administration of knowledges but also can improve the efficiency of system inference. aiming at different inference phases and problems, combining rbr ( rule _ based reasoning ) with fm ( fuzzy matrix ) reasoning by using different inference mechanism is easy to realize solve strategy of the fuzzy inference mechanism
通過該系統的具體開發可知，採用產生式規則和框架系統相結合的方式，可以使領域知識的表達更加方便、實用；應用松緊耦合的方式建立系統知識庫，不僅有利於知識的更新、擴展與管理，而且能提高系統推理的效率；針對制動器設計過程中不同的推理階段和問題，採用不同的推理機制，將rbr / cbr推理與模糊矩陣推理技術相結合，易於實現不精確推理中問題的求解策略；利用人工智慧技術，結合cad / cae手段，是kbe設計方法比較可行的一種實現方式。
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