簡要規則集 的英文怎麼說
中文拼音 [jiǎnyāoguīzéjí]
簡要規則集
英文
simplified ruleset- 簡 : Ⅰ形容詞(簡單) simple; simplified; brief Ⅱ動詞1 (使簡單; 簡化) simplify 2 [書面語] (選擇人才...
- 要 : 要動詞1. (求) demand; ask2. (強迫; 威脅) force; coerceⅡ名詞(姓氏) a surname
- 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...
- 集 : gatherassemblecollect
- 簡要 : concise and to the point; brief
- 規則 : 1. (規定的制度或章程) rule; regulation; ordination; prescribed procedure; rope 2. (整齊) regular
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The reduction request knowledge of background and meet with standard of data mining. decisive tree algorithm of id3 is used to prove the validity of feature reduction and to generate intrusion detection rules
粗糙集約簡具有扎實數學理論基礎,不需要背景知識,符合數據挖掘的要求。用id3決策樹演算法去印證約簡的有效性和檢測的時間效率並生成檢測規則。Because the choice of fuzzy set functions affects how well a fuzzy system approximates a function and gaussian bell - curve sets give richer fuzzy systems with simple learning laws, we choose gaussian function set as fuzzy set functions
因為隸屬函數的選取會影響模糊系統逼近函數的效果,而高斯型隸屬函數的鐘形曲線只要簡單的學習規則就可以表示豐富的模糊信息,我們選取高斯型隸屬函數作為模糊集合函數。In this page the disadvantages of common intrusion detection system are presented. and the details of designs of a expertsystem based real - time intrusion detection system with brief introduction of expert system in artificial intelligence are also exhibited in this paper. meanwhile an example of definition of rule - set in knowledge - rule database is included in the introduction mentioned above
該文討論了普通型入侵檢測系統的弱點,對人工智慧的重要領域專家系統作了簡要介紹,提出了一個基於專家系統的實時入侵檢測系統的詳細設計方案和實現方法,同時舉例說明如何定義知識規則庫中的規則集。According to the present personalized needs for product design for manufacturing enterprise, the paper applies rough set theory to simplify irrelevant attributions of product design knowledge, to generate decision - making rules, finding potential knowledge - pattern among products or components in order to classify vague target or to provide design knowledge for the design staff
摘要針對製造業產品設計的個性化需求,將粗糙集理論應用於產品設計知識的屬性約簡和分類規則生成,發現產品或零部件間潛在的特徵知識模式,從而為設計人員所能夠提供的模糊對象進行分類或提供設計知識。While putting rough set theory into practice, this thesis pays attention to setting - up the proper data structure. in order to improve the data utilization ratio and promote rule quality, this thesis puts forward the method of " divide equally and examine each other this thesis bring forward the method of dynamic reduce to overcome data noise and confirm the best reduction finally with the help of rosetta tool software we apply the above concept and method to reality, and succeeded in obtaining the optimum rule for the expert system of production scheduling in daye iron ore mine, wuhan iron and steel company
由於標準粗糙集模型對數據噪音高度敏感以及工程應用中數據噪音引入的不可避免性,標準粗糙集模型在實際應用中存在一系列問題,為克服數據噪音以及規則泛化的需要,本文採用變精度模型,由此模型引入近似約簡方法。本文在將粗糙集理論及變精度粗糙集模型應用於實際的同時,注重研究了適當數據結構的建立。為提高數據利用率,提升規則生成的質量,提出了平分互測規則集泛化能力考核方法。A popular solution toimprove the speed and scalability of the association rule mining is todo the algorithm on a random sample instead of the entire database. buthow to effectively define and efficiently estimate the degree of errorwith respect to the outcome of the algorithm, and how to determine the samplesize needed are entangling researches until now. in this paper, an effective and efficient algorithm is given based on the pac probably approximate correct learning theory to measure and estimatesample error
關聯規則挖掘作為數據挖掘的核心任務之一,由於其任務本身的復雜性通常需要多次整個掃描數據庫才能完成挖掘任務且頻繁模式可能產生組合爆炸,使得從原始的大規模數據集上抽取一部分樣本,在其上尋找用戶感興趣的近似規則成為目前提高演算法效率和可擴展性的一種簡單有效的現實可行方法之一。It is a np difficult problem to generate complete decision rules based on rough set theory
摘要針對基於粗糙集理論提取完全的決策規則是np難問題,提出一種獲取統計意義下的完全的簡化規則的演算法。The rough set theory ( rst ), which was introduced by z. pawlak in 1982, is a tool to deal with vagueness and uncertainty. its main idea is inducing decision or classification rule through knowledge reduction by keeping the classify ability
粗糙集理論是波蘭數學家z . pawlak於1982年提出的一種處理不確定和不精確數據的理論,其主要思想是在保持分類能力不變的前提下,通過知識約簡,導出問題的決策或分類規則。The research work in this dissertation is based on the following observations : ( 1 ) most existing rough set methods lack of suitable means to deal with distributed data environment ; ( 2 ) since the decision support ability of decision table will be reduced in rule induction process, the obtained rules can only offer limited decision support compared with the decision table
本論文主要針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的有效處理機制以及在規則約簡過程中決策表決策支持能力的損失等問題進行了研究工作,提出了解決方法。論文針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的處理機制問題,提出了元信息方法。Thirdly, it dissertates process integration and gives the rule - based method of business process simplification, which is the means in principle to business process reengineering, including : simplification based on perspectives of management concept - deleting activities which is not necessary and no value added, simplification based on process information flow analyzing hyper - graph - integration of activities and process structure optimizing using information system - process integration. following this, gives instance of process simplification based on rules
然後論述了過程集成並從大的方面給出了經營過程重組的原則性方法:基於規則的過程簡化方法(基於管理思想的簡化? ?刪除不必要的活動和不增值的活動、基於信息流的過程簡化? ?活動合併和基於信息技術的過程結構的優化? ?過程集成) ,並給出了基於規則的過程簡化的實例。The paper briefly introduces the basic theory of fault tree analysis and rule - based expert system, and offers to combine fault tree analysis with rule - based expert system. by connecting fault tree to diagnosis knowledge base through cut set, we can express expert knowledge totally, systematically, and logically by building fault tree. it makes automatic knowledge acquisition come true to obtain diagnosis rule base automatically according to the fault tree
本文簡要闡述了故障樹分析法和基於規則的診斷專家系統的基本原理,提出將故障樹分析法與基於規則的診斷專家系統相結合的方法,通過割集將故障樹與診斷專家系統知識庫聯系起來,用建立故障樹的形式全面、系統、層次性地將專家知識表述出來,由故障樹自動生成基於規則的專家系統診斷規則庫,實現了診斷知識的自動獲取,並且確保了診斷知識的一致性和完備性。The main aim of the proposed fuzzy rule - based method is to develop a useful decision making tool by discovering simplified fuzzy if - then rules, whose consequent part is a real number, from numerical data by using the proposed data mining technique based on genetic algorithm to automatically determine several pre - specified parameters
本文的主要目的在於發展一有用之決策分析工具,使決策者可應用前述之資訊以制定適當之?銷或經營策? ,而在做法上系發展以基因演演算法為基礎之資?探勘技術,決定一些使用者難以設定之? ? ,以自所收集之資?中找出前?部與后?部分別為語意值組合與該組合相對應之消費者效用之簡化模糊規則。Based on design database search from internet, design parameters are predigested. the most important parameters that make sure to transmission style are available, so that the search range is shrinked and the complexity is reduced. the multi - predigest mining between design parameter and transmission scheme is realized and relation rules of all kinds of abstract levels are obtained
針對從網路中搜集整理的設計數據庫,對設計參數進行了化簡,得到了確定電機類型所需要的最重要的參數集合,以便縮小設計的搜索范圍、降低設計的復雜度,並對設計參數與電機方案實現了多層次的挖掘,獲得了兩者之間不同抽象層次的關系規則信息。From the reductions of decision table defined by history fault data, a series of nodes network rule sets, with suitable belief degree under different reductive levels, is developed by calculating the rough subjection degree of every rule
該方法從歷史故障數據所形成決策表的約簡出發,通過計算規則的粗糙隸屬度,形成不同簡化層次上符合置信度要求的節點網路規則集。分享友人