誤分類 的英文怎麼說

中文拼音 [wùfēnlèi]
誤分類 英文
misclassification
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 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...
  1. One fault diagnosis model and corresponding algorithm was constructed based on neural network and evidence theory for taking a step forward diagnosis correct rate, which can cut down the imput dimension of neural network 、 improve classification ability 、 decrease the error classify rate of diagnosis system. then, the feasibility and effectiveness of this method was manifested by specific diagnosis example

    為進一步提高診斷準確率，本文基於神經網路和證據理論，構建了基於決策層信息融合的故障診斷模型及其相應演算法，目的在於降低神經網路的輸入空間，提高其分類能力，降低診斷系統的誤分類，診斷實例表明了這種方法的可行性和有效性。
  2. Monophthong vowels, compound vowels and nasal terminal vowels as well as the rates of every error type and the causes of the high - rate types have been discussed

    按照單母音韻母、純母音復合韻母和鼻韻尾復合韻母的分類，統計了三類韻母中的偏誤比率，分析了偏誤率較高的幾類偏誤的原因。
  3. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  4. In the present study, eighty - one species of suborder flabellifera are found and described, of which 13 are new species and the other 29 species are recorded for the first time from chinese waters. key to chinese families and genera are provided. discussion on taxonomic problems is given and brief notes of the distribution are provided

    本文以傳統的形態分類為主，結合現代分類學的手段和方法解決近似種、疑難種的準確鑒定問題，搞清中國的屬種及分類上存在的錯誤和混淆，並結合已有的此類群研究結果，進行地理區系的比較。
  5. We analyze the classifying results based on the fuzzy text classifying, think the wrong classifying results can be divided into two styles, and we propose a subordinative degree update algorithm aim at the two instances. combined the nizzy semantic relationship classifying algorithm, we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula.

    在模糊文本分類的基礎上，對分類結果進行了分析，將分類錯誤歸結為兩種類型，並針對這兩種情況提出了隸屬度更新演算法，結合模糊語義關聯度的分類演算法提出了運用更新公式不斷對分類結果進行校驗糾錯進而逐漸地構造分類器的演算法。
  6. To mistakenly attribute a specimen to a particular taxon

    將一個標本?定錯誤而歸於一個特別的分類單元。
  7. Is the major code for an unclassified error

    是未分類錯誤的主要代碼。
  8. Represents the event code indicating that an unclassified error occurred

    表示的是指示發生了未分類錯誤的事件代碼。
  9. In the research of explore the method of acquisition, this thesis is arranged as the follows : 1 、 this thesis first analyze the method that based rule matching and hypothesis testing as we known, discuss the reason for its wrong acquisition

    本文在探索分類獲取方法的研究過程中，主要從如下幾個方面展開: 1 、對已有的基於手寫規則推導，通過統計過濾獲取scf分類信息的方法進行了分析，探討其產生錯誤的原因。
  10. According to principle of reducing recognition error rate, increasing the ability of real - time processing, making the loss least, the multilevel classification mode is selected to classify the stored food insects

    依照降低誤識率、提高實時處理能力以及誤分類損失最小的原則，本文選用了多級分類的方式進行儲糧昆蟲分類。
  11. It turns out with practical examples that the classification error can be greatly reduced by virtue of rough set theory methodology

    結合實例說明了在聚類分析過程中，可以應用粗糙集方法有效地降低誤分類率。
  12. If these cases can be found out by some methods, then the reliability of the assessment results will be improved

    如果能夠應用某種方法把容易造成誤分類的樣本劃分出來，勢必提高神經網路暫態穩定評估的可靠性。
  13. The diagnostic power of the classifiers was compared regarding their misclassification error rates and area under the receiver - operating characteristic curve

    考慮到其誤分類錯誤率及受試者工作特徵曲線下面積，該分類機的診斷效力有一定可比性。
  14. As the expriment result shows, we can use the range of misclassification rate ( which the maximum entropy model supports ) as the indicator of whether a process is attacked

    最後，我們運用最大熵原理建立進程調用序列的最大熵（分類）模型，運用模型預測系統調用和利用誤分類率為檢測指標，以達到更好地檢測入侵目的。
  15. The transient stability assessment based on anns suffers from the unavoidable misclassifications in the boundary region between the two classes due to the complexity of tsa input dimension and the limitation of ann

    由於暫態穩定評估問題輸入空間的復雜性以及神經網路本身的局限性，神經網路的分類結果中不可避免地會存在誤分類。
  16. Models incorporating time - varying covariates enhanced predictive power by reducing misclassification and incorporating day - to - day changes in extra - renal organ system failure and the provision of dialysis during the course of arf

    通過減少錯誤分類，加入腎外器官衰竭逐日變化和arf期間透析的提供，這些時間變化因素的加入增加了模型預測力。
  17. Obviously, it is far from the requirement to determine the taxonomy condition depending on morphological characters alone, for there are too many reasons that will lead to wrong classification

    從樹狀圖很容易看出僅僅通過形態學指標對粘細菌進行分類已經不能滿足需要，許多外界因素都會導致錯誤分類。
  18. This is not a must, however ; some utilities simply return 1 for any error condition and 0 for success, whereas others classify errors into categories, and return one of a smaller range of codes, say 1, 2, or 3, depending on the category

    不過這不是必須的；有些實用程序對任何錯誤條件都簡單地返回1 ，若成功則返回0 ，而其它實用程序則將錯誤分類，並根據類別返回較小范圍代碼（比如1 、 2或3 ）中的一個。
  19. The latter classification method combined variable precision rough set model with k - nn classification method, so we can control the classification accuracy rate by the most endurable given error classification rate, then we can make the classification result conform to what we expect, and also some examples are given

    后一種分類方法是將可變精度粗集模型與k - nn分類結合起來，從而可通過給定最大容忍的錯誤分類率來控制分類的準確度，使分類結果達到所期望的目的。並且給出了一些例子。
  20. In the detection and retrieval of the moving objects, the presence of shadows in an image can lead to misclassify the objects or merge the different objects, and bring the wrong results for the following advanced process, so it can ’ t track the object accurately and give the correct understanding and description of the objects

    在運動物體檢測與提取中，陰影的存在會導致物體的錯誤分類或者使不同物體相互融合，為后續的高級處理帶來錯誤的結果，導致不能夠很好的跟蹤物體以及對物體的行為進行理解和描述。
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