錯分類 的英文怎麼說
中文拼音 [cuòfēnlèi]
錯分類
英文
misclassification-
Taxonomists ? bipedal apes who tend to inhabit temperate zones in the northern hemisphere ? have characterised what is under their noses reasonably well
分類學家?傾向棲息于北半球溫帶地區的兩足猿?對生活在他們眼皮底下的生物描述得相當不錯。Classified ads and wanted sections are very helpful
它的分類廣告和人事廣告都不錯。In multi - step word problems, they were ' incorrectly translating unity number of the latent component quantity ", " misunderstanding the multiply signs as unity number ", and " misunderstanding division signs as a equal sign "
多步驟題型捉題之錯誤類型可歸納為: 1 .隱含元素的單位量轉換錯誤; 2 .將直接表徵為某一單位數; 3 .將二直接表徵為平分。3. the principle of the interleaver based on the interference of polarized light is analyzed theoreticallyand the interleaver architecture of this kind is presented. a 50ghz interleaver is designed and the two series of interleaved spectrum like cosine function is obtained experimentally ; by using the tandem of two birefringent crystals with different optical path difference, we get the flattop spectrum
3 、分析了pbi型interleaver濾波器的基本原理,給出了一種pbi型interleaver濾波器結構;設計了50ghz光學梳狀濾波器,實驗得到了該器件兩組交錯分波類餘弦輸出光譜;採用不同光程差的晶體級聯方案,實現了輸出光譜平頂化。A genetic feature study in class, division 1 malocclusion
類1分類錯的遺傳特徵初探The correcting entry includes a debit or credit to prior - period adjustment for the error amount and a credit or debit to the asset or liability ac ? count that was misstated
調帳分類為借記或貸記以前年度損益調整,同時貸記或借記錯記的資產或負債帳戶。The vegetation type was classified in the east transect by unsupervised classification using the data ( ikmx 1km ) from noaa meteorology satellite from 1995 - 1996, and the article analyzed the change of ndvi of all kinds of vegetation types, in the same time analyzed the forest dynamics in typical ecotone ( warm temperate zone to semitropical in qinling woods ) using the higher spatial resolution tm data
本論文利用1995 - 1996年noaa氣象衛星的ndvi ( 1km 1km )數據,採用無監督分類方法對中國東部樣帶南方部分進行植被類型的劃分,分析各植被類型的ndvi變化情況;並利用較高精度的tm數據分析典型交錯區域(暖溫帶到亞熱帶的秦嶺林區)的森林動態變化情況。Second, we do research on asthenia syndrome and sthenia syndrome. we first select sub - images from tongue image along the polygonal edge of the tongue, then based on the analysis of the texture properties of the sub - images, gray level co - matrix is used to extract features. the classification precision with theses features is higher
其次,本文研究了舌質蒼老與舌質嬌嫩的分類,先應用演算法在舌邊自動選取了子圖像作為研究對象,然後應用灰度共生矩陣方法對這些子圖像進行了特徵提取和分類,取得了不錯的結果。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。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。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。Is the major code for an unclassified error
是未分類錯誤的主要代碼。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。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。Compared with the classical model of decision tree, this model has more excellences such as being easy to build the model and to expand, a great capability of fault tolerance
通過與經典的決策樹分類模型進行比較,本文分類方案具有建模簡單、擴展性好、容錯能力強等優點。This case report described the treatment for a 23 year - old female class patient with mandibular asymmetry, uni - lateral posterior crossbite and severe crowding in both jaws
摘要本報告為一個23歲、安格氏第三分類咬合伴隨?面不對稱、單側后牙錯咬、上下牙弓嚴重擁擠的女患者。Study limitations included the lack of recording for tumor grade and estrogen - receptor status, and the possibility of misclassification of some hereditary cases
本研究的局限性包括缺乏腫瘤分級和雌激素受體狀態的記錄,以及可能對某些遺傳性病例分類錯誤。It ’ s done several tasks concretely as followed : 1 ) analyze and research mrm and its training curriculum ‘ s background and development ; conclude the principle of mrm, content and its thinking methods systematically ; summarize foreign scholars ’ research fruits on the performance examination of mrm. 2 ) research maintenance human factors and come up with a frame of maintenance human errors analysis and its categories. in the mean time, point out that people need to look upon mrm as a conprehensial measure to reduce human errors in mrm ’ s research and practice3 ) relatively deeply and meaningfully research on how to introduce and execute mrm in our country ’ s aviation circle ; put forward researching results on introducing mrm as well as key jobs we need to do in the future in our country
具體做了以下幾個方面的研究工作:一是分析研究了維修資源管理及其訓練課程的產生發展及其背景,系統地歸納了維修資源管理的原理內容及其思想方法,總結了國外學者對維修資源管理績效考核的研究成果;二是對維修人為因素做了相關研究,提出了維修差錯原因分析及維修差錯分類框架,指出在對維修人為因素的研究和實踐中,需要更多地採取維修資源管理及其訓練這樣的綜合性措施去減少維修人為差錯;三是對國內航空界引進並實行維修資源管理做出了相對深入並有實際意義的研究與探索,對國內引進並實施維修資源管理及其訓練課程以及將來的重點工作,提出了研究結論。Clean up classification errors using known information ( e. g. clip large water bodies to remove confusing classes due to shallow water )
利用已知資訊清理分類錯誤(例如:裁剪大片水體以清除淺水引起的混淆性分類) 。The output information of single classifier has three forms of abstract, rank and measurement single classifier supplies both the unknown pattern classifying information on the measurement level and the wrong classifying distribution information of the training samples on the abstract level, which are used to design the fuzzy multiple classifiers combination method
單個分類器的輸出信息有三種表現形式:符號層、排序層、度量層。應用單個分類器在度量層次上,對未知模式的分類信息;在符號層次上,訓練樣本的錯分類分佈狀況,設計了模糊多分類器組合方法。分享友人