rough analysis 中文意思是什麼

rough analysis 解釋
近似分析
  • rough : adj 1 粗糙的 (opp smooth); 凹凸的,崎嶇不平的 (opp level)。2 粗毛的,多毛的,蓬亂的(頭發)。...
  • analysis : n. (pl. -ses )1. 分解,分析;【數學】解析。2. 梗概,要略。3. 〈美國〉用精神分析法治療(= psychoanalysis)。
  1. This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize

    本文從系統工程進行決策分析的角度出發,藉助數據挖掘技術中粗糙集的基本理論,在智能決策框架的指導下,研究了基於數據挖掘的智能決策理論及方法。主要理論包括:如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取;在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法;分析了帶有優先權屬性的粗糙集數據挖掘方法;以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法;研究了粗糙集數據預處理方法。
  2. According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis , then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5

    再次,為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能,在第四、第五兩章運用模糊集理論( fst )和粗糙集理論( rst )對支持向量機進行研究,採用優勢互補原則,先是把模糊集與支持向量機有機結合,構造出基於模糊集的支持向量機( fssvm ) ,然後把粗糙集理論與支持向量機相互結合,進而把rst與fssvm相互結合,構造出基於rst的支持向量機。
  3. From the model study of the fractal random rough surface, we acquire one dimensional ? two dimensional fractal random rough surface model with fractal theory ; 2. the calculation of the scattering field of light ; the establishment of the scattering light ’ intensity model, and the number calculation of the intensity distribute ; 3. the study on the laser radar cross section of one - dimensional fractal rough surface target ; and the number calculation of the scattering intensity of two - dimensional fractal the rough surface target ; 4. through shadowing effect, we analysis light scattering characteristic of fractal rough surface

    本論文利用分形理論得到一維?二維分形隨機粗糙表面模型,研究光在一維?二維分形粗糙表面的光散射特性,主要從以下四個方面分析: 1 .自仿射分形隨機粗糙表面模型探討,採用分形理論得到一維?二維分形隨機粗糙表面模型; 2 .分形粗糙表面散射光場的計算和粗糙表面散射光強角分佈的模型建立和數值計算; 3 .一維分形粗糙表面目標的激光雷達後向散射截面lrcs研究和二維分形粗糙表面目標散射強度數值計算; 4 .引入遮蔽效應分析分形粗糙表面光散射特性。
  4. Production and processing equipment : bearing production equipment, the ball processing equipment, bearing cleaning equipment, packaging equipment bearings, needle roller processing equipment, light jewelry processing equipment, spherical roller processing equipment, rough processing equipment, double - end grinders, spindle, wheel oilstone and other grinding materials, heat production, high - precision coordinates grinder, and outside grinder, seal marking machine, profilometry, contour dynamic analysis, hardness needle - sorting machine, a round instrument, processing tester, processing meter, dynamic vibration and noise analysis, vibration, noise testing device raceway ultra - precision instrument, roughness measuring instrument, the finish detector, sorting machine, converters and bearing products preservatives, lubricants, cleaning agents, such as processing raw materials

    生產及加工設備:軸承生產設備球加工設備軸承清洗設備軸承包裝設備滾針加工設備光飾加工設備球面滾子加工設備毛坯加工設備雙端面磨床電主軸砂輪油石和其他研磨材料熱處理生產高精度坐標磨床內外圓磨床印子打標機輪廓測量儀輪廓動態分析儀硬度針分選機圓度儀加工測試儀加工測量儀振動噪聲動態分析儀震動噪聲測試裝置滾道超精儀粗糙度測量儀光潔度檢測儀分選機變頻器及軸承產品防腐劑潤滑劑清洗劑加工原材料等。
  5. We can use the mm5 model in definite time, definite area weather forecasting. we conclude that : : the moving route of this necw in its developing progress was direct - south along latitude, the cold air is rough, and just this made the rough vertical velocity ; the necw southern moving and conflicting with the west pacification sub - tropical high makes rough jet steam. the plenty south - west warm and wet air made by the jet stream gave the rainstorm demanded vapor ;. the rough vertical velocity by jet stream is a main reason in this rainstorm ; the mm5 model uses four - direction analysis data as its input, this avoids some errors occurred in observe and transfer, thus made the result more useful

    綜合分析認為: ( 1 ) 、這次冷渦在其發生發展過程中,其移動路徑是沿經圈直線南壓,攜帶的冷空氣勢力較強,形成槽后較強的垂直運動; ( 2 ) 、西太平洋副熱帶高壓偏北位置與東北冷渦南壓形成的急流軸,把源源不斷的西南暖濕氣流輸送到遼西地區,也就是急流軸的左前方位置,為這次暴雨的產生提供了充足的水汽來源; ( 3 ) 、低空急流不但為暴雨輸送水汽,其造成的較強的垂直環流也是產生強降水的一個主要原因; ( 4 ) 、 mm5模式以四維同化資料作為初始場,最大限度地避免了觀測誤差可能造成的積分不穩定,提高了模擬結果的參考價值。
  6. 4. combining the attribute selection method with rough analysis, a classifier modeling method is put forward, which owns the ability of deleting redundant attributes and deducing rules based on rough analysis

    將屬性選擇方法與rough分析相結合,利用rough分析可以剔除屬性集合中冗餘屬性並進行規則歸納的能力,提出一種基於rough分析的分類器建模演算法。
  7. Knowledge inclusion degree and information entropy of rough set data analysis

    知識包含度與粗糙集數據分析中的信息熵
  8. The thesis includes a rough description on the transition of the army system in late qing, and then gets the separated statistics and analysis of the military generals basing on the regional distribution. such as general, perfect, the commander and the new army generals

    本文首先對晚清軍制的變遷做了一個大致的敘述,然後以晚清軍事將領的籍貫地理分佈為切入點,對晚清將軍、提督、總兵、團練和新軍將領的籍貫分別作了統計和分析。
  9. As the problem of attribute is one of core problems in rough sets theory, this paper puts forward an improved algorithm based on genred reduction algorithm, what " s more, the improved algorithm is applied into client purchase analysis field

    屬性約簡問題是粗糙集理論的核心問題之一,本文提出了一種基於genred的最大概率因子的改進屬性約簡演算法,並將該演算法應用在市場營銷的客戶購買分析方面。
  10. Analysis of strength in high speed rough grinding wheel of large diameter

    大直徑高速粗磨砂輪的強度分析
  11. Through detailed analysis to information entropy concept of complete information systems, weighted information entropy and weighted conditional entropy of incomplete information system based on limited tolerance relation are studied, which is naturally genealization of rough entropy conept of complete information systems based on equivalence relations

    在仔細分析完備信息系統的信息熵概念的本質之後,通過引入權數,研究了基於限制容差關系的不完備信息系統加權信息熵和條件熵問題。
  12. In some projects charged by our lab such as national 863 project - " crop planting management components based on weather analyse ", anhui provincial 95 key project - " agricultural meteorology disaster evaluation system base on gis in anhui province " and the project " small coal mine security management and decision system based on gis in anhui province ", this paper combines the theory and arithmetic of rough set with gis and data mining in idss, investiges the application of rough set theory to precision analysis of attribute data and logical operation in gis, analyzes the logical operation based on rough set ( logical union, logical intersection, logical complement, mixed logical operation etc. ), so that it can give a method y to research the gis attribute data and the uncertainty of attribute data after superposition operator, so as to express the roughness and illegibility of attribute data more accurately

    在完成試驗室所承擔的國家863項目「基於氣象分析的農作物種植管理軟構件」 、省95攻關項目「基於gis的安徽省重大農業氣象災害測評系統」和「基於gis的安徽省小煤礦安全管理決策系統」等項目中,將粗糙集理論和演算法與gis 、智能決策系統中的知識發現等相結合,對粗糙集理論在gis屬性數據和邏輯運算精度分析中的應用情況進行了研究,分析了基於粗集的gis邏輯運算(邏輯並、邏輯交、邏輯補、混合邏輯等) ,從而為研究gis屬性數據及其疊加運算后屬性數據的不確定性提供了一種方法,能比較準確地表達屬性數據的模糊性和粗糙性。
  13. 5. data preparation is essential procedure before data mining, and the thesis presents two algorithms for the filling of missing values and the finding of duplicates, two of data problems in data preparation. at first, the thesis uses of rough analysis to predict the missing values with known values to solve the problem of missing values, and the results are with higher accuracy ; then the thesis uses partition data table and quick sort method to find duplicates, which can decrease the searching time for finding

    數據預處理是數據挖掘之前的必要準備步驟,針對數據預處理問題中的缺失數據與重復數據的挖掘問題提出兩種演算法,首先針對缺失數據問題,浙江大學博士學位論文利用rough集理論通過對己知數據進行預測實現對缺失數據的填補,達到了一定的預測精度;然後針對重復數據問題,利用數據表分解技術以及快速排序方法實現重復數據的發現,並降低了重復數據的發現時間。
  14. Rough analysis of perfecting the legal system of protecting private property right

    淺析完善保護私人財產權之法律制度
  15. The paper make a rough analysis with the necessity, purpose, mode, choice and constrain factors of the socialized management of logistics in university and make several solutions of some problems

    本文就高校後勤管理社會化的必要性、目的、模式選擇及制約其的因素等問題做了粗淺的分析,並探討了一些問題的解決對策。
  16. Rough analysis on contract deception

    淺析合同欺詐
  17. Rough analysis on the supporting system of strengthening acdventurous investment

    試析強化風險投資業的支持系統
  18. This dissertation focuses on applications of rough set theory and rough analysis in data mining

    本論文的研究內容集中在rough集理論以及rough分析在數據挖掘領域中的若干應用。
  19. To solve some existed problems in data mining, the thesis gives out a few resolutions with the new mathematical tool. information theory and multiple statistics are introduced into rough analysis together with rough set theory and other techniques, new results are giving for knowledge discovering, associative rules mining, pattern classification and data cleaning, etc. after a brief summary on data mining and rough set theory, the research works in the thesis can be descript as follows : 1

    Rough集理論是一種新型的處理不確定性知識的數學工具,圍繞著數據挖掘領域存在的問題,本文利用rough集理論與rough分析工具,提出若干解決方案,同時在具體處理問題過程中引入了信息理論、因子分析等方法,與rough分析結合使用,討論了rough集技術在知識發現、關聯規則挖掘、模式分類以及數據清洗等問題中的應用。
  20. 2. to the problem that the data table will be searched many times in mining of associative rules, an algorithm using with equivalence classes concept of rough analysis in the mining of single - dimensional boolean associative rules is introduced. the algorithm uses multiple minimal support thresholds instead of single minimal support threshold to settle with its limitation in the finding of frequent items, which makes the resultant rules set more proficiency, and including more significant rules

    針對關聯規則挖掘過程中多次搜索數據表的問題,將rough分析的等效類概念引入到關聯規則挖掘中,針對單維布爾關聯規則問題提出一種挖掘演算法,同時針對單一的最小支持度閾值的缺點,提出使用多個最小支持度閾值來進行頻繁項集挖掘,可使得結果規則集合更加精練,包含更多的有意義規則。
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