概率決策法則 的英文怎麼說

中文拼音 [gàilǜjuécèfǎzé]
概率決策法則 英文
probabilistic decision rules
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 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 ...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 法則 : rule; law
  1. The new ways that solve multiple objectives decision making under risk into probability permanent type : decision making diagram method, matrix analysis method, multiple objectives markov method, the shortest distance method, successive type variation multiple objectives decision making under risk method and fuzzy analysis decision making method. 3. the new modes that solve multiple objectives decision making under risk into probability interval type and uncharted type : weighted method and sorting method 4 the new repent average value criterion that handle multiple objectives decision making under risk into probability uncharted type and generalizing the criterions that have been used into one objective decision making under probability into uncharted type to multiple objectives decision making under probability into uncharted type. 5. giving the error analyses method and decision result regulating method that been used into multiple objectives decision making under risk

    2 、探討了『決策圖法』 、 『矩陣法』 、 『多目標馬爾科夫法』 、 『最小距離法』 、 『連續型變量的多目標風險型決策法』和『模糊分析決策法』等解決概率固定型的多目標風險型決策的新方法。 3 、探討了『加權法』 、 『排序法』兩種解決概率區間型和未知型的多目標風險型決策的方法； 4 、在概率未知型的多目標風險型決策中改進了『後悔值準則』 ，提出了『後悔均值準則』 ；並將單目標概率未知型風險型決策的準則推廣運用到多目標概率未知型的風險型決策中去； 5 、探討了多目標風險型決策方法誤差分析及決策結果值調整的方法。
  2. Thirdly, comprehensive attribute method and risk coefficient are used to comprehensively evaluate the risk of the three sites so as to identify key risk factors and evluate the whole risk probability. fourthly, optimal scheme is selected via comparing schemes of the three plant sites through using investment model based on maximum shannon rule. lastly, measures to monitor and control risk consisting in this project are analyzed

    在對該項目三個備選廠址的風險識別的基礎上，利用極大熵準則對各廠址存在的風險進行估計，得出各風險發生的概率，然後利用綜合屬性度法和風險系數對各廠址存在的風險進行綜合評價，找出了關鍵風險，並得到了該項目的整體風險水平，進而通過基於極大熵準則的大型工程投資決策模型對該項目的廠址選擇方案進行決策，選出了最優方案，最後，分析了該項目中存在的風險的應對監控措施。
  3. It ' s a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server. i also design and implement three important algorithms : merchandise association rule algorithm based on multi - level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result

    本文作者在實習期間，參與並完成了基於微軟分析服務器的銷售分析與報表系統；並在公司即將開始的數據挖掘項目中，完成了多個重要演算法的設計和c + +程序實現：基於多層分類商品樹的商品關聯規則演算法，會員顧客的購物頻繁序列模式產生演算法；基於信息熵理論和條件概率樹的會員顧客分類（決策樹）演算法，並分別使用數據進行了測試，取得了較好的結果。
  4. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。
  5. Using the statistic characterization of data, the relevant knowledge reduction algorithm is put forward by combining the probability with classification rules ; using the characterization of fuzzy attributes, the decision system with subjection degree attribute is built by combing the rough set theory and fuzzy set theory, and the idea of distinguish matrix is induced to the concealed decision system to reduce data

    利用數據的統計特徵，將概率測度與分類規則結合起來，提出了相應的知識西北工業大學博士學位論文約減演算法;利用模糊屬性集合的特點，把粗糙集合與模糊集合有機結合起來，將粗糙集中分辨矩陣的思想引入到具有隸屬度屬性的隱式決策系統中進行數據約減。
  6. According to the phenomenon that some vehicles may come cross the starting difficulty after the engine running a period of time, the paper firstly analyzes, the practical meaning of engine cold start parameter for automatic testing and diagnostic systems, according to dempster - shafter amalgamation rule, requirement of proof, aining at concrete fact of breakdown diagnosing for engine cold start. conforming basic probability distribution function, it presents concrete realization for decision - making amalgamation arithmetic, completes for development of soft and hard wares of automation synchronous messure of engine cold start " s parameter

    針對發動機運行一段時間后，部分車輛就會出現起動困難的故障現象，本文首先分析了發動機冷起動參數自動測試與診斷系統的實際意義，根據dempster - shafer證據理論的融合規則、要求，針對發動機冷起動故障診斷的具體實例，構造了基本概率分配函數，給出了決策層融合演算法的具體實現方法，完成了發動機冷起動參數自動同步測試的軟體硬體開發。
  7. Abstract according to the defect of the conventional bayes " method in the geomechanical engineering back analysis, expanding bayes " method was established in this paper. with the applications of the probability theory and the mathematical statistics principle, the geomechanical engineering random back analysis objects function was founded based on the aic criterion of the decision information theory and the maximum entropy criterion, a the matching question between the observed information and the previous information of the conventional bayes " method were proposed. in addition, the least square method, maximum likelihood method and conventional bayes " method were unified in form

    本文針對巖土工程反分析中使用的傳統貝葉斯法中存在的缺陷，提出了擴展貝葉斯法，從概率論和數理統計的原理出發，建立了基於決策信息論中aic準則和最大熵準則的巖土工程隨機反演的準則函數，解決了傳統貝葉斯法的觀測信息與先驗信息的匹配問題，並從形式上完成了目前常用的最小二乘法、最大似然法及傳統貝葉斯法準則函數的統一，並可由觀測數據的質量和數量進行預測模型的辨識。
  8. The purpose of mdp is to select a good control steategy. this article discusses the arithmetic problem of the optimum solution under the new principle. this principle is called probability threshold value

    本文在一種新的準則下討論決策的最優解的演算法問題，在文中我們稱之為概率閾值準則。
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