模式類別 的英文怎麼說

中文拼音 [móshìlèibié]
模式類別 英文
pattern class
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 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...
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 模式 : model; mode; pattern; type; schema
  • 類別 : classification; category; genre; family; tier
  1. By analyzing the examples from fairytales and epics, we can get two single stories and the inferior type of this theme and by studying the arrangement of the story from the order of the plot, we can get four mechanisms of development : multiple starting points ; reoccurrence ; heterozygosis and branch expansion, which explain the inherent principle for a continual development and super length of the story

    從神話、史詩中搜集到的該類型的例證，分析可得該主題下的兩類單體故事以及更次一級的型式類別，並在情節序列上考察目連救母故事的組構情況，總結得出「復合起點」 、 「反復再現」 、 「異型融合」和「旁支擴張」四種生長機制，以期從一個側面說明該故事持續生長並構成超長篇規模的內在原理。
  2. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  3. In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly

    在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。
  4. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  5. One class classification is a machine learning approach different from the traditional pattern recognition approach where two or more class samples are required. however in some real - life cases, we can hardly, even not, get the samples of some classes, or have to pay costly price to obtain the so - needed samples, such as in the case of machinery malfunction. and while in other cases, the sizes of samples among classes are imbalance, such as medical diagnosis

    單類分類器是不同於傳統模式識別的一種機器學習方法，傳統模式識別方法一般需要多個類別的樣本（至少兩個） ，而在有些場合中，幾乎無法獲取多類的樣本，或者獲取其樣本所需花費的代價非常高，比如：機器故障中我們不可能為了去獲得故障樣本而讓機器特意產生故障；又有些場合的類別樣本個數嚴重不平衡，比如醫學上的疾病特徵與非疾病特徵的比例是嚴重不平衡的。
  6. Based on these algorithms, and consider the property of the arc image, we proposed a new multi - stage algorithm. the proposed algorithm involves the class separability criterion in pattern recognition, and double - threshold method and non - maximum suppression proposed in canny operator. we apply this algorithm to the arc image, and get a better result

    並在這些演算法的基礎上，基於電弧圖像的特點，提出了一種改進的多階段邊緣檢測演算法，這個演算法中應用到模式識別中的類別可分離判據的理論，並使用了canny演算法所中提出的雙閾值法和非極大值抑制方法等等。
  7. By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built, svm presents a lot of advantages for resolving the small samples, nonlinear and high dimensional pattern recognition, as well as other machine - learning problems such as function fitting

    Svm的基本思想是通過非線性變換將輸入空間變換到一個高維空間，然後在這個新的空間中求取最優分類超平面。它在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢，並能夠推廣應用到函數擬合等其他機器學習問題中。
  8. Since it is a new pattern recognition method, some fundament knowledge was discussed in this paper, such as the basic notion of subspace method, the construct of subspace classifier, the classing rules, the rejecting rules, etc. at last the representative blsm and alsm classifier were tested with multiple character sets

    作為一種新的模式識別方法，本文講述了子空間方法的基本理論、子空間分類器的構造、分類決策規則、拒識規則等知識，並用多種小字符集測試了具有代表性的blsm和alsm子空間識別器。
  9. The disturbed flow caused by three six - storied residential buildings and a twenty - storied tall tower, respectively, as well as the distribution of traffic tail gas from a nearby road, are simulated by using an urban climate model

    應用城市氣候數值模式，分別計算了3棟6層住宅樓和1棟20層住宅樓兩類建築形式產生的風場，以及在此風場中街道汽車尾氣的濃度分佈。
  10. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  11. Classification is to predict the class label of unknown data with supervisor obtained from experiential data, which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining

    分類即通過由經驗數據訓練得到的分類器預測未知數據的歸屬，是模式識別、機器學習、統計分析等領域的一個基本問題，也是一種最常見的數據挖掘任務。
  12. Pattern recognition problems of large scale ( prpls ) refer to those with a feature space of high dimensionality and a data set with large amount of samples that belong to many different classes

    大規模模式識別問題特指一類特定的模式識別問題。該類問題的特點是，特徵空間維數高，樣本數量大而且所涉及的類別數目多。
  13. Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information

    本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。
  14. A handwritten numeral recognition system based on the combined classifier is built up in this paper. many pattern recognition ways and many handwritten numeral characters are used in the system

    本文建立的基於組合分類器的手寫數字識別系統，綜合使用了多種模式識別方法，全面反映了手寫體數字各方面的特徵。
  15. And it is proved to be a good instrument for classification and forecasting in practice application just for it ' s model identification ability

    正是神經網路的模式識別能力使得它在實際應用中成為一種良好的分類和預測工具。
  16. Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection

    粗糙集理論是數據挖掘的方法之一，它是處理模糊和不確定知識的一種數學工具，已在人工智慧與知識發現，模式識別與分類，故障檢測等方面得到了較好應用。
  17. Their pd signals are measured and measured cables are anatomized to observe their discharging trace. implement of picking - up character and mode classifying are introduced, and expatiate the principle of artificial neural networks. soft program is necessary to pick - up the character of pd signals and classify pd mode

    論文介紹了由特徵量提取器和模式識別分類器兩大模塊構成的模式識別系統，闡述了人工神經網路的模式識別原理，本文一方面採用信號的prpd模式的放電次數和統計運算元作為bpnn的輸入信號，設計了相應的bpnn模式識別程序；另一方面採用prpd模式的統計運算元作為sart人工神經網路的輸入，設計了相應的sart神經網路模式識別程序。
  18. Many apropriate features ways and many pattern recognition are used in the system. the results of experiment show that this system can get high correct rate and high reliability in recognising printing numerals with big revolving angle

    本文建立的基於組合分類器旋轉不變的印刷體數字識別系統，綜合使用了多種模式識別方法，全面反映了帶有多種旋轉角度數字的各方面特徵。
  19. Extensions for financial services interface specification. release 3. 0. vendor dependent mode class interface

    金融業務介面規范的范圍. 3 . 0版.自動售貨機相關模式類別介面
  20. The fault diagnosis of liquid rocket engine can be considered as a problem of mode identification, the task of which is to divide samples into mode types by obtained characteristics

    液體火箭發動機故障診斷可視為一個模式識別問題，模式識別的任務是利用從樣本中提取出的特徵，將樣本劃分成相應的模式類別。
分享友人
分享到 Line

分享到臉書