正確分類率 的英文怎麼說

中文拼音 [zhēngquèfēnlèilǜ]
正確分類率 英文
percentage correctly classified
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 確 : 形容詞1. （符合事實; 真實） true; reliable; authentic 2. （堅固; 堅定） firm
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 正確 : exactness; correct; right; proper; rightness; rectitude; validity
  1. After careful testing and tuning, the inspection system appears good to the inspection of sound, chalky and off - type kernels, and rice screenings

    本系統在連續大量檢測米粒時，其整體分類正確率超過80 % ，檢出完整粒的精確度約為97 % 。
  2. The paper studies the surface geometry of globoidal indexing cam by applying the theory of conjugate surfaces and the method of coordinate transformation, presents the equations related to the main inducement curvature of the cam profiles, analysis and deduces the equations of two circumscription curves, which judge if the conjugate surface could mesh properly. some calculate examples and conclusion are given. the surface equation of the globoidal cam and conjugate equation are established

    論文首先在分析空間嚙合原理基礎上，採用坐標變換法推導出弧面分度凸輪的工作廓面方程、嚙合方程和壓力角計算公式，對弧面分度凸輪的嚙合特性進行了深入的分析和研究，對判斷曲面能否正確嚙合的依據如兩類界限線方程以及誘導主曲率等進行推導，並給出算例。
  3. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  4. Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application

    論文在提取一些常規測井特徵參數的基礎上，採用自適應方法對各變量多項式進行優選，減少了特徵參數間的相關性，突出了類別間的差異性，從而優化了模式的質量，提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的，論文對模糊「最大隸屬原則」進行了研究和改進，並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較，然後對參數進行調節的辦法，可將模式「訓練」到最佳狀態。
  5. Disigning coolant channel on the firebox of liquid rocket engine to loxodrome ( equal - angle helix ) groove can improve firebox coolant capability greatly. because the width dimension of loxodrome groove is narrow and the depth is deep, some machining methods are incapable, such as end - milling or electrochemistry. according to the peculiarities, a cnc disk - cutter - milling method which is composed of five motion axes with four simultaneously interpolated ones is researched. because most firebox generatrix is composed of complex curves, it is very difficult to get cnc cutting program with manual means. in order to deal with the problem, the loxodrome mathematics model is studied, and an auto - programming software system is developed. the software system can generate cnc cutting program of loxodrome on many kinds of turned surface. the constriction - distension segment of firebox is the most representative workpiece. the sharp changing of its generatrix slope makes loxodrome milling difficult. with the theory analyzing and practice cutting experiment, some applied techniques, which include milling mode and direction, choosing cutter diameter and cutting start point setting, are developed. adopting the technology above, tens regular workpiece have been manufacturing. the two - year manufacture practice has confirmed the validity and feasibility of developed loxodrome coolant channel milling method. the developed technology is also worth to be referenced to other similar workpiece

    將液體火箭發動機燃燒室的冷卻通道設計為斜航線（等傾角螺旋線）槽形，可以大幅度改善燃燒室的冷卻性能.斜航線冷卻槽的槽寬尺寸較小而槽深尺寸較大，所以無法使用棒銑刀銑削、電化學等加工方式.針對這些特點，提出了五軸控制、四軸聯動的數控片銑刀銑削加工方法.由於燃燒室外表面的母線輪廓復雜，手工編制數控加工程序難度大.為了解決數控加工程序的編制問題，研究了斜航線的數學模型，開發了自動編程軟體系統.使用該系統，可以生成多種母線輪廓回轉體外表面上的斜航線數控加工程序.燃燒室收斂-擴張段的母線斜率變化大，加工難度大，是斜航線冷卻通道加工的最典型工件.經過理論分析和實際切削實驗，研究了針對該類型工件的片銑刀直徑選擇、銑削方式和方向、刀具調整和起刀點的設置等多項實際的加工方案.採用上述的一系列技術，已經成功地加工了數十個合格工件.經過兩年多的實際生產過程應用，驗證了所開發的斜航線冷卻通道加工方法的正確性和可行性.這些加工技術的研製成功，對其他相似類型零件的加工亦具有參考意義
  6. By using the optimized covariance matrices to optimize the new regularized discriminant analysis ( rda ), the correct classification rate is higher than that by the old rda

    利用優化的協方差矩陣對正則化判別分析方法進行優化，其模式分類正確率有顯著提高。
  7. Combining with the research task researching on the deformation and stability of deep excavated cuts and high filled embankment of the traffic department in fujian province, based on the residual soil slope project on the project site at k15 + 183 of yong - zhang highway ( yong ' an section ), adopting non - linear theory, modern monitoring technology and numerical simulation technology, the deformation and stability of cutting cliff debris and residual soil slopes have been studied systemically and synthetically in the thesis. at the same time theory analysis, the analysis and estimate of field monitoring are taken into account in this course. main research work and working achievement are summed up as follows : ( 1 ) with the acquaintance of the trends and development about the deformation and stability of slopes at home and abroad, slopes are classified and summarized systemically

    並通過k15 + 183工點路塹土質邊坡的各類位移變形的監測成果驗證了該程序的正確性及適用性； （ 5 ）通過應用大型有限元軟體ansys模擬分析，不僅分析了其隨著開挖時間步的應力應變關系，並模擬了與實際測斜管相匹配的測斜路徑，通過對各開挖時間步的模擬計算分析，得到了與實測數據較符合的結果； （ 6 ）綜合監測分析成果和極限平衡理論計算分析成果，對k15 + 183工點路塹邊坡的原設計坡率和幾何形態進行了優化計算分析，取得了較為滿意的結果。
  8. With the development of the network and the multi - processor system, the research, simulation and the impemeni of the system - level fault diagnosis which is the very important means to increase the reliability of the system, are becoming more and more important. on the system - leve1 fault diagnosis, based on the group theory of system - level fault diagnosis that has been put forward by pro f zhang, the paper constructs newly the theory bases, improves on the matrix method, reinforces and consummates group arithmetic of all kinds of test mode, for the first time, analyses and discusses the equation solution of all kinds of models, so al1 the consistent fault patterns ( cfp ) could be found, straightly and high efficiently, even if the sufficient and necessary condition of t - diagnosable is dissatisfied and the complexity of system - level fault diagnosis is greatly decreased, especialy in strong t - diagnosabl6 system. last the simulation system ' s function has been extended and the application hotspot and the development trend have been disscussed

    本人在張大方教授等人提出的基於集團的系統級故障診斷的理論基礎上，重新構建了系統級故障診斷的理論基礎，定義了系統級故障診斷測試模型的三值表示；改進了系統級故障診斷的矩陣方法，重新定義了測試矩陣、鄰接矩陣、結點對、結點對的相連運算、極大準集團和斜加矩陣，由此能直觀、簡便地生成集團和極大獨立點集；補充和完善了各類測試模型的系統級故障診斷的集團演算法，通過定義集團測試邊和絕對故障集，簡化了集團診斷圖，由此能較易地找到所有的相容故障模式，即使不滿足t -可診斷性，大大減少了系統級故障診斷的復雜度，尤其是對強t -可診斷系統；首次分析探討了各類測試模型的方程解決，由此從另一角度能系統地、高效率地求出所有的相容故障模式（ cfp ） ：擴充了系統級故障診斷模擬系統的功能，快速、直觀和隨機地模擬實驗運行環境，進行清晰和正確的診斷，同時提供大量的實驗數據用於理論研究，優化演算法和設計。
  9. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  10. Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis

    網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析
  11. Traditional urban green landscape indexes, such as greenland rate, green rate, etc., which only focus on the scale and area of the greenland, ignoring the importance of the shape, distribution, type and structure, can give neither a real picture, nor a scientific evaluation of the ecology effects of the urban greenland

    傳統的城市綠地指標如綠地率，綠化覆蓋率等指標只注重綠地的規模和面積特徵，忽視了綠地形態、分佈、類型、結構等特徵的重要性，不能反映城市綠化的真實情況，無法對綠地的生態效應進行正確的評估，以此來指導城市綠地的規劃和建設也不盡科學。
  12. On the analysis of financial affairs in classifying loans risk, bank has large of finance report forms samples. it can make correct judge by calculating various rates and comparing them with other enterprise. so the bank has the numerical model knowledge and the instantial swatch knowledge

    在貸款風險分類的財務因素分析時，銀行有著較充足的各行各業的財務報表的樣本實例，可以通過計算的各種比率結果及與同行業的比較而對借款人作出正確的判斷，因此它具有模型數量性知識和實例樣本性知識。
  13. The experimental result shows that the ksom method can cluster the data with non - spherical shapes such as annular shape, and the cluster precision can reach 99. 8864

    實驗結果表明，核自組織映射聚類對于非橢圓型的類分佈數據，如環形數據，聚類正確率也能夠達到99 . 8864 % 。
  14. The experiment has proven that the techniques of handwriting feather extraction and decision can get the satisfying right identifying rate

    本文運用的筆跡特徵的分析方法和分類判別方法，經過大量的實驗達到了滿意的正確識別率。
  15. A b - p neural network classifier is designed to the classification of three types of ship by using the feature vectors. the average correct recognition rate of three types ship reaches to 80 %. the result show that the above techniques based on hos are valid

    將上述方法所提取的線譜和連續譜特徵作為特徵參量，採用b - p神經網路對三類船舶實際噪聲樣本進行識別分類，平均正確識別率達到80 。
  16. Based on the intelligence. we can first train the bp network using the standard records from the final users, then, the network can process the raw data from various sources, and reach its own conclusions. not as normally the ann systems do, our model outputs a fuzzy set to act as the final dss result. during the whole procedure, the core lies in the bp network about the model ' s efficiency and its effectiveness. as a rule, a commonly multipurposed solution falls behind the specially single - purposed one in its efficiency and effectiveness, so much of work has been put into the try to improve the whole ststem performance, which was largely dependent on the special attributes of the data from the definite final user

    在這個基本模型網路中，使用用戶提供的標準數據對網路進行訓練，從而使其記住標準的數據模式是整個網路智能決策的關鍵所在。在我們的模型中，一方面要考慮到網路的正確分類的能力問題，另一方面，我們又不得不考慮網路的效率問題。對這些問題的研究和解決是我們在這個模型中的一個主要著力點，我們將針對我們的模型所面對的用戶數據的典型特點，對網路進行應用試驗和改造，使得網路能針對我們的數據有最佳的效率和性能。
  17. Plenty of diagnosis examples demonstrate the validity of the gray relationship analysis method in diagnosing power system insulation faults. not only the misjudgment rate can be reduced, but also the transformer fault incidences can be classified by using self - adapted weight fuzzy clustering method. further more, the transformer insulation condition can be analyzed, as well as the fault position can be located by recognizing the fault types

    經過大量的診斷實例表明：本文的模糊綜合診斷與模糊規則推理結合起來的故障診斷方法對電力研究變壓器絕緣故障診斷是有效的，能大大減少錯判、誤判比率；自適應加權模糊聚類方法能對變壓器的故障樣本正確分類，同時能有效判別故障類型，診斷的準確性大大高於常用的三比值法。
  18. The theoretical analysis and computer simulations reveal that, with hsnr conditions satisfied and enough data received, the correct classification probability of our sub - optimum algorithm can achieve about 100 %. 2

    對新分類方法的漸進性能分析和計算機模擬表明，在滿足「大信噪比」條件下，當觀測數據足夠長時，正確分類概率趨於100 。
  19. The experiment shows that the model enables to detect transformer faults with a higher diagnosis rate, under condition of small samples, the diagnosis rate for discharge fault samples gets 90. 5 %, and 85. 9 % for thermal fault samples

    實例驗證表明，該模型在有限樣本情況下，能達到較高的變壓器故障判斷率，放電性故障樣本正確判斷率為90 . 5 % ，過熱性故障樣本正確判斷率為85 . 9 % ，說明該模型具有很好的分類效果和推廣能力。
  20. The convergence of the pnn decision rule for the bayesian decision rule is proved with probability. an explicit formulation of pnn generalization ability is proposed. and the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability

    證明了pnn的決策函數依概率收斂于貝葉斯決策函數;給出了pnn的推廣能力表達式;證明了一個分類網路的測試集正確率是該網路推廣能力的極大似然估計;給出了分類網路中需要的測試集數目表達式;證明了pnn推廣能力不大於由貝葉斯決策所帶來的正確識別率
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