傳統決策規則 的英文怎麼說

中文拼音 [zhuàntǒngjuécèguīzé]
傳統決策規則 英文
conventional decision rules
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 決 : Ⅰ動詞1 （作出主張; 決定） decide; determine 2 （執行死刑; 殺死） execute a person 3 （裂開; 斷開...
  • 策 : Ⅰ名詞1 （通「冊」 古代寫字用的竹片或木片） bamboo or wooden slips used for writing on in ancient ...
  • 規 : Ⅰ名詞1 （畫圓形的工具） instrument for drawing circles 2 （規則; 成例） rule; regulation 3 [機械...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 規則 : 1. （規定的制度或章程） rule; regulation; ordination; prescribed procedure; rope 2. （整齊） regular
  1. The method of the model retrieval breaks down the traditional population density statistics method according to the administrative area boundary and changes to evenly distributed and same size grid units to compute the population density. it enriches the methods to obtain the population density indexes and increases the accurate degree and application fields of the indexes. so, it will benefit to the decision process of the population and economic policy, benefit to the sustainable development of regions

    這種模型反演的方法，突破了傳統的按行政區界線統計人口密度的方法，改為按照均勻分佈、規則大小的格點單元來計算人口密度，豐富了獲取人口密度指標的方法，提高了人口密度指標的精確程度和應用范圍，將有利於人口、經濟政策的決策過程，有利於區域可持續發展。
  2. Rule reasoning, fuzzy decision and information fusion algorithm are merged, and the step fault diagnosis method is accomplished ; for different object, when necessary knowledge is given, a special fault diagnosis system will be automatically produced, and the diagnosis result will be given

    將規則推理、模糊決策、多傳感器信息融合演算法融為一體，形成一階梯式故障推理機制；對不同的診斷對象，只要設置好必要知識模塊，就可自行生成一專用故障診斷系統，並能自動輸出診斷結果。
  3. Traditional algorithm only makes decision tree more deep or bushy in order to improve accuracy. this leads to the final tree is hard to comprehend and difficulty to covert into rules

    傳統演算法對于構造一個準確性較高的決策樹，往往使得生成的樹過深或過于龐大，導致其很難被人理解，同時也不易被轉換成規則。
  4. Because of the defect of long running time and big complexity in the classical job - shop scheduling algorithm, the paper brought forward an intelligent optimization algorithm based on rule ; scheduling process is divided to primary process and optimization process. through the method of ahp ( analytical hierarchy process ), the effect is researched between several rules and estimate. moreover, the results of ahp are used as a measurable standard to scheduling results

    本文針對傳統車間作業調度演算法運行時間長，復雜度大的缺點，提出了基於規則的智能優化調度演算法，將排序的過程分為初始排序與優化排序;基於多目標決策的層次分析方法，得出了各種規則與系統評價指標之間的影響度，其結論為生產計劃方案的選擇提供了定量的參考依據。
  5. It must be carried out to summarizes our national university construction experiences, discards the conventional thinking mode, put the university construcion into the urban planning and attempts to explore a kind of practical solution and applied strategly, which adapt to the construction and planning of modern university campus

    總結我國高校建設經驗，摒棄傳統的思維模式，將大學建設置身於城市總體發展環境中，努力尋求一種適應當代高校建設與規劃的解決措施和運用策略已勢在必行。當代高校建設與規劃應體現可持續性的發展原則，遵循開放式規劃的運用策略。
  6. To be dealed agaist extended data, this thesis has improved on and come true arithmetic of time sequence model, and amended conventional decision tree arithmetic, introduced the decision tree arithmetic for extended data, namely threshold value control approach. according to threshold value and concept hierarchy, threshold value control approach can set up the concise and statistic classification tree. at the same time, based on the theory of the concept lattice, this thesis introduces the arithmetic of mining association rules based on quantified concept lattice reduced by uncertainty coefficient

    針對泛化后的數據，本文改進並實現時間序列模式發現演算法；修改了傳統的決策樹演算法，提出了一種適合於泛化數據的決策樹構造演算法：閾值控製法，閾值控製法通過閾值和概念層次的控制，可以建立簡潔明了、具有統計意義的分類樹；在概念格理論基礎上提出了基於不確定系數法挖掘關聯規則的演算法。
  7. Comparing to traditional rule - based system, case - based reasoning system has many advantages, which can predigest knowledge gathering and easily accumulate knowledge. case - based reasoning technology has been widely used in fault diagnosis and decision - making support which abound of experience knowledge but has neither good theoretic model nor complete field knowledge

    與傳統的基於規則的系統相比，基於案例推理的系統具有簡化知識獲取、便於知識積累等優點，在沒有很強的理論模型、領域知識不完全、經驗知識豐富的故障診斷、決策支持等領域得到了廣泛的應用。
  8. At the same time, we have emulations of algorithms of rale updating and time series mining with matlab. in mobile environment, extracting valuable information quickly through data mining provides daily decision - making support and emergency service - support for mobile users, and compact rule information compared to a great deal of original data can reduce the quantity of data translated in a radio link and can save time. foremost, it saves the wireless resources, lightens congestion of bandwidth in wireless network, so that it will enhance the usability and high - efficiency of the whole mobile computing system

    在移動計算環境中通過對數據的挖掘和信息的處理，從而快速的移動計算中的規則提取與規則更新研究提取出對移動用戶有價值的信息，不僅提供給移動用戶日常的決策支持和緊急狀況下的應急服務支持，而且簡潔的規則信息相對原始的大量數據而言，可以大大的減少無線鏈路上的傳輸數據量，減少傳輸的時間，最重要的是節省了無線資源，降低了網路阻塞的情況，從而提高了整個移動計算系統的可用性和高效性。
  9. Also presented in this thesis is a study of the method for the generation and dynamic modification of the intrusion rule set through the decision tree and genetic algorithm, which is the emphasis of this thesis

    論文在分析模糊入侵檢測系統的基礎上，還著重研究了運用決策樹、遺傳演算法生成與動態修改入侵規則集的方法。
  10. At first, this thesis described the necessary of implementing dm in crm systems at on the basis of explaining the elementary concepts and principles of crm and dm, constructed a crm system framework with the center of dm. then, it ameliorated and expanded the models of traditional association rule and decision tree for classification, put forward association rule with time constraint and fuzzy decision tree for classification. the thesis amended traditional algorithms and showed the application methods of new models

    論文首先從客戶關系管理和數據挖掘的基本概念和原理入手，闡明了在客戶關系管理中應用數據挖掘的必要性，構建了以數據挖掘為核心的crm系統框架；然後，論文改進和擴展了傳統的關聯規則和決策分類樹模型，提出了具有確定性時間約束的關聯規則和模糊決策分類樹，並修改了傳統的挖掘演算法，通過示例展示了新模型的應用方法。
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