模式識別類型 的英文怎麼說

中文拼音 [móshìzhìbiélèixíng]
模式識別類型 英文
pattern recognition type
  • 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...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 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...
  • 模式 : model; mode; pattern; type; schema
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 類型 : type; mold; form; cut類型論 theory of types; 類型語句 [計算機] type statements
  1. 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。
  2. 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。
  3. The comprehensive seeding accuracy testing method proposed in this dissertation to test performance of precision seeder, grain drill seeder, hill - drop planter, seeding monomer, and seed sowing device is an integrative one with technology of computer vision, patter recognition, and automatic control

    本文提出的適用於精密播種機、穀物條播機、穴播機，及排種器等多類型播種機具的播種精度檢測方法，是集計算機視覺、模式識別、自動控制為一體的綜合技術。
  4. The computer is substituted for human power to accomplish building the egg ' s module and its classifying by combining the relation of systems " vibration mode and its construction with application of the artificial neural networks in mode recognition

    將系統振動模態和結構的關系以及神經網路在模式識別中的應用相結合，採用計算機來代替人工完成蛋品模型的建立和分類實現。
  5. Many approaches developed offer approximation solutions, including principle - based, such as purely syntactic ones, semantic and pragmatic ones, and statistics - based ones. in this paper, we put forward a modal to resolve anaphora ( including empty pronoun ) based on the characteristics of chinese. in this method, we apply some corresponding rules on the sentences after their patterns distinguished in the text, then analyze the semantic relation of the components of the sentence and form a corresponding semantic network, get rid of some candidates according to the co - constrain of the nodes in that network, put every component which refers to people into forward - looking centers, ordered by their semantic role, ascertain the hierarchy of sentences, analyze the transition types resulted by the scheme of different resolutions, finally, choice the most possible scheme of resolution according to the precedence of the types

    本文針對漢語的特點建立了一個包括零代詞在內的代詞消解模型:在語義結構文法思想的指導下，對文本中的句子模式識別后，採用相應的規則式，然後分析句中成分之間的表層語義條件並產生相應的語義網路，利用語義網路中結點間的相互約束對代詞的某些候選先行詞進行排除，並且把每句中指人的語言成分放到前向中心列表中，以它們所充當的語義成分為排序依據，確定句子的層次結構，最後依據中心理論分析每個候選先行詞對代詞的不同消解所造成的層次相鄰的句子之間的過渡類型，利用過渡類型的優先順序對代詞的候選先行詞進行擇優。
  6. The paper puts forward the clustering algorithm includes : clustering based on grid and iterative, enhanced clustering algorithm base on density and k - medoids, enhanced k - means algorithm ( optimize chooseing consult _ points in iterative process ), enhanced clustering algorithm base on distance. they can overcome many limitations ( some traditional algorithms terminate in local optimization. many results of cluster are roundness, too many times in partition iterative process ), which are related to the static architecture of traditional model

    在傳統聚類演算法的基礎上，結合我們科學數據挖掘的應用對象?分子動力學數據，提出了迭代網格聚類演算法， k -平均和基於密度結合的聚類演算法，迭代過程中優化選擇中心點的k -平均方法，以及改進型的基於距離的聚類演算法等模式識別方法，能夠解決傳統演算法帶來的諸多問題（比如一些傳統的聚類演算法常常收斂于局部最優，發現都模式都趨近於球形，劃分方法中迭代次數過多帶來的效率問題） 。
  7. The article introduces the basic concepts and common methods of fuzzy mathematics, initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits, classification of rock drillability, and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory

    初步探討了以下幾方面的應用： 1 ）用隸屬度劃分金剛石鉆進「打滑」地層； 2 ）綜合評判在金剛石鉆頭評價、巖石可鉆性分級及鉆探造漿粘土評價中的應用； 3 ）用模糊聚類分析進行「硬巖石」分類； 4 ）用模糊數進行鉆孔竣工時間預估及地下水質評價； 5 ）模糊模式識別在新礦區類型識別和最佳水源地選擇中的應用； 6 ）模糊相似選擇及其改進演算法在金剛石鉆頭選擇和油田開發方案評價中的應用； 7 ）模糊控制在泥漿性能和礦坑涌水量預測中的應用； 8 ）優化理論模型在金剛石鉆頭和深基坑支護方案綜合評價中的應用。
  8. The paper gathered deep layers well logging materiak record well materiak core and cutting material of 27 wells in the daqing district, recognized the different type of igneous rock according to their log response feature, and made a large number of cross plot, then carefully chose several of them which works better igneous rock lithology recognition. made pattern recognition procedure using computer to recognize lithology, synthetical many logging parameter to identify igneous rock lithology. and then on the basis of recognizing lithology, the paper analyzed the lithofacies recognition law in this district

    文中採集了大慶地區27口井的深層測井資料、錄井資料、巖心和巖屑資料，根據火成巖的測井響應特徵識別不同類型的火成巖，並做了大量交會圖，精選了幾種識別火成巖巖性效果較好的交匯圖版，編制計算機識別巖性的模式識別程序，綜合多個測井參數識別火成巖巖性，並在識別巖性的基礎上，進一步分析本地區巖相的識別規律，最後結合試油資料，分析本地區火成巖儲集空間的特點及油氣與火成巖巖性和巖相的關系。
  9. In the aspect of blind - identification, the mutual power spectrumx time - frequency distribution product of two delay signals are used as the features of classification. the cluster analysis and cumulant invariants of mpsk signals are used to automatically classify communication signals

    在信號識別中，選取信號的互功率譜、時頻分佈、 mpsk信號的延遲相乘信號作為分類特徵，利用模式識別中的聚類分析以及mpsk信號的基於高階累積量構成的分類特徵不變量實現了信號調制類型的自動分類。
  10. 13 xu l, krzyzak a, suen c y. methods of combining multipleclassifiers and their applications to handwriting recognition. ieee transactions on systems. man, and cybernetics

    在這方面，目前通常使用的方法有隱馬爾可夫模型，神經網路方法，我們也曾嘗試過使用結構模式識別方法和多分類器融合等。
  11. Abstract : this paper applies pattern recognition techniques to th e trouble diagnosis of power electronic circuits, and discusses the establishing of reference pattern, the capturing and processing of characteristic information, the building of rule base and reasoning machine

    文摘:將模式識別方法用於電力電子電路的故障診斷，詳細討論了標準類型的建立方法、特徵信息的獲取與處理技術、規則庫的建立以及推理機。
  12. The noise signal of passing vehicles is gathered with microphone array, and processed off line with the method of wide - band array signal processing, then the estimation of vehicle numbers can be transformed into the estimation of signal source numbers, up and down of the vehicle can be transformed into doa estimation of array signal processing. at the same time, vehicle types are classified using pca method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition. at last, the result of the experiment proves this method is feasible

    對麥克風陣列所採集的車輛行駛時的聲音信號，運用寬帶陣列信號處理的方法進行離線處理，並將車輛個數的估計轉化為陣列信號處理中信號源個數的估計，將車輛上下行的估計轉化為陣列信號處理中波達方向變化的估計，進而較準確地估計出了車輛的個數與行車方向；同時對所採集的車輛聲音信號應用模式識別中的主分量分析法實現了車輛的簡單分類，為實現車型識別作了一些初步的探索。
  13. In this paper we studied the textural features extraction, remote sensing images classification and bp neural network techniques and their applications in the meteorological problems such as recognition of the cloud cluster feature, cloud - drift wind retrieval and heavy rain process analysis etc. to the question of the low precise recognition of satellite images by using spectral features, the proposed approach assumes to perform a multiple analysis based on an advisable decision - making model by first developing a mixed pixel model which was based on the textural features of images, and then improving the recognition intelligence

    本文對模式識別領域中的圖像紋理特徵提取、遙感圖像分類、 bp神經網路與紋理特徵組合分類等方法，以及它們在雲團屬性識別、雲跡風反演和暴雨過程分析等氣象問題中的應用作了研究。針對過去利用圖像光譜亮度特徵進行識別分析氣象衛星圖像準確度不高的問題，本文提出了發展混合像元的分解模型，以圖像的紋理特徵為基礎，提高圖像識別的智能水平，以實現在分析決策模型的支持下，快速準確的復合分析的解決方案。
  14. The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances

    而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。
  15. In view of the above mentioned problem, the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification. in accordance with the difficulty in medical image analysis ( for example, the background of microimage of section is complicated and is difficult to be segmented. ), the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model

    本文針對上述問題，用計算機圖像處理及模式識別等信息技術對顯微細胞圖像的自動分析和分類的方法進行了研究，並針對醫學圖像分析中的難點（例如，顯微切片圖像背景復雜，分割困難） ，提出了基於歸一化彩色空間和rgb ， hsv彩色模型的兩類分割方法：利用模式識別技術中關于特徵向量空間聚類的方法實施真彩色分割。
  16. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  17. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  18. Second, based on the theory of error separation, the mathematical model, which is used to extract the surface flaw of axis - like parts, is given briefly. third, the designs of hardware and software in the system are explained respectively. fourth, the models and algorithms for appraising the surface flaw of axis - like parts are established by the methods of pattern recognition and neural net

    第一，本文論述了該課題研究的必要性及應用開發的價值：第二，簡要介紹了基於誤差分離理論建立起來的提取軸（孔）類工件表面缺陷的數學模型；第三，對該系統的硬體和軟體設計分別進行說明；第四，運用模式識別和神經網路等方法建立軸承工件表面缺陷評判模型和演算法，並給出了各種評判方法的比較。
  19. On the basis of the concepts of divide - and - conquer and rough - fine, dia build a set of algorithm models including two rough classifiers ( i. e. bdt and cmac ) and three fine classifiers ( i. e. clchfpp, cpn - wed, nne - ifm ) which integrate some techniques such as clustering, decision tree, neural networks, fuzzy logic and information fusion etc. and take advantage of them, so dia has a high accuracy and speed theoretically

    Dia系統中演算法模型的設計基於「分而治之」和「由粗到精」的模式識別思想，具體構建了兩種粗分器（ bdt和cmac ）及三種精分器（ clc - fpp 、 cpn - wed和nne - ifm ） ，這些分類器的設計綜合了聚類法、決策樹、神經網路、模糊邏輯以及信息融合等技術的應用，並使其優勢互補，因此在理論上具有識別精度高及速度快的優點。
  20. Is an advanced image processing and pattern recognition system that recognizes the vehicle type and color of a captured image

    Vecon type是當今先進的圖像處理和模式識別系統，它從採集到的圖像中識別出車輛的類型和顏色。
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