結構模式識別 的英文怎麼說

中文拼音 [jiēgòumóshìzhìbié]
結構模式識別 英文
structural pattern recognition
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 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）
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  • 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...
  1. The proposed character recognition technology using pattern distinguishing and structure analysis can solve the problem that not all characters are in one plane and the box numbers are not horizontal in container number identification of intelligent container passageway

    摘要文章介紹的模式識別與結構分析組合及箱號校對的識別技術，很好地解決了集裝箱智能道口箱號識別中的字元不完全在一個平面上與箱號橫豎排列不定等問題。
  2. In this diploma thesis, the statistic and structural characteristic of musical score image is analyzed and synthesized by relevant technology of image project, pattern recognition, mathematical morphology, software engineering, music knowledge, midi and so on. the concept of direction number has been defined, and then the mathematical morphology theory is used to process musical score image and recognize musical information. specialized direction number algorithms are firstly used to preprocess a musical score image and then recognize stafflines, barlines, pitch, note values, clef, etc. finally the musical information of the musical score image is automatically stored in the midi format

    本文利用圖像處理、模式識別、數學形態學、音樂知識庫與midi等相關技術，分析與綜合數字樂譜圖像的統計與結構特徵，提出了方向數等概念，對樂譜圖像進行處理，利用直方圖技術與方向數演算法識別譜線、小節線、符乾等樂譜的主要框架，然後用數學形態學理論識別音高與時值，最後根據這些音樂信息，組合成音樂樂譜信息，並自動轉化成midi格式。
  3. Firstly, this paper introduce the biology of gustatory, then the notion and development of electronic tongue, the structure and development survey of artificial taste sensor system, the importance and development survey of electronic tongue signal process

    本文首先介紹了味覺感受的生理基礎，接下來介紹了電子鼻的概念和發展、人工味覺系統結構和發展概況、電子舌信號處理的發展概況、電子舌的一些典型模式識別方法。
  4. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  5. In this text, according to south china sea ( scs ) hydrology investigation data, including the nansen data, bt and ctd data, thermocline distribution of scs and its characteristics have been studied. at same time, with the data of sun " s thermal radiation, air temperature, and other weather data the ocean thermocline has been calculated. the research involves the following aspects : large - scale data processing method ; data quality control ; thermocline identification and statistics method ; thermocline map ; thermocline influence factors of scs ; thermocline results comparison using nansen data and bt data ; thermocline forecast

    研究涉及到以下幾個方面：大規模資料的處理方法、質量控制；溫躍層的計算機識別、溫躍層的統計分類方法；南海溫躍層三項示性特徵圖的繪制；南海溫度躍層的影響因素、南海溫度躍層的分佈狀況；南森資料與bt資料計算南海溫躍層的結果比較；海洋上層溫度結構模式及計算等。
  6. 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。
  7. 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。
  8. Identification of flexible structure damage modes based on artificial neural network

    基於神經網路的柔性結構損傷模式識別方法
  9. 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。
  10. Application domains include : transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply - chain management, financial engineering, and telecommunications systems planning

    應用領域有：交通和物流規劃、模式識別、圖像處理，資料探勘（資料采礦） 、結構設計，大系統排程、供應鏈管理、金融工程和電信系統規劃。
  11. In this paper, adopting the optimization equivalent method, the finite element model of transmission tower structure with bolted looseness - damage is set up according to the damaging characteristic of this tower structure

    摘要本文針對輸電塔架結構的損傷特點，採用優化等效的方法，建立了具有螺栓松動損傷的輸電塔結構的有限元模型，同時提出了此結構螺栓松動損傷診斷基於應變模態的改進的模糊模式識別方法。
  12. A scheme to identify the stochastic signal and its modes by computer is introduced and using the method of the autocorrelation functions for recognizing the stochastic audio signal fleet has been applied

    摘要分析了利用自相關函數法實現快速識別隨機音頻信號，介紹一種用計算機實現隨機音頻信號處理與模式識別的硬體結構和程序設計。
  13. In the second, in allusion to non - stationary the characteristic of the signal, the author introduces to the method that using empirical mode decomposition to analysis the vibration signal so that the signal are made up of some intrinsic mode function, after this process, we can use stochastic subspace identification to identification the mode parameter of the structure and find the same work frequency

    其次，針對氣閥振動信號的非平穩特點，本文採用了經驗模式分解法（ empiricalmodedecomposition ）對振動信號進行分析處理，使之成為若干個基本模式函數imf （ intrinsicmodefunction ）和一個殘余量的線性組合。接著採用隨機子空間參數識別法對各個基本模式函數其進行結構參數識別，同時找出各種狀態的共同工作頻帶。
  14. 3. based on the dynamic response of all damage cases, it discusses the indexes including frequencies, modal curvatures and their compounded index used in rbf networks. it is found that the method can identify the location and severity of the damage accurately and effectively and the compounded index is better than others

    3 .根據簡支工字鋼梁各損傷工況下的動力特性，分別研究了將頻率變化率、模態曲率變化及其組合參數作為徑向基網路的輸入指標時進行結構損傷識別的效果，發現基於徑向基網路的梁式結構損傷識別方法能夠正確識別損傷，且組合參數作為輸入指標時的識別效果更好。
  15. Based on the characteristics of vehicle structure, the paper presents the check technique for traffic vehicle from the remote sensing images, introduces the transformation process from the grey scale of image to the dual value image, and finally expounds the marginal check ( contour tracing ), image dividing, mode distinguishing and the vision of machine

    摘要在分析固定場景中車輛圖片結構特徵的基礎上，提出了從遙感圖中檢測車輛的方法，具體介紹了將遙感灰度圖像轉換為二值圖像，並進一步闡述了邊緣檢測（輪廊的跟蹤） 、圖像分割、模式識別、機器視覺等作用。
  16. The thesis, in the probability analysis and computation, considers the failure history of space frames and trusses, adopts the bound criterion and algorithms on the base of system ' s critical strength, and introduces the soft self - adaptation control bound into the identification of dominant failure modes ; at the same time, with the incremental load method and differential equalized recursive method, computes the limit - state function of failure mode and probability index precisely under no leaking the dominant failure modes

    文中在可靠性分析和計算部分，考慮空間剛桁架結構系統的失效演化歷程，採用基於系統臨界強度的約界準則和約界演算法，將柔性自適應控制邊界引入失效模式識別過程；同時，用荷載增量法和微分等價遞歸演算法相結合，確保在嚴格不遺漏主要失效模式的情況下，快速準確地求解失效模式的極限狀態方程和可靠度指標。
  17. Because the structure is simple, pnn is an effective model for many classification problems and many pattern recognitions

    Pnn的拓撲結構簡單，容易設計演算法，廣泛應用於模式識別及模式分類領域
  18. Classification has always been a central issue on data mining, machine learning and pattern recognition, classifier, as an important model and method of machine learning and data mining, is very important to the development and application of machine learning and the data mining. the classifier ’ s effect closely correlates with the characteristic of data sets, at present, the construction of classifier is generally based on the character of different datasets, there is no such a classifier which is suitable for any data sets. under uncertain conditions, the bayes network is a powerful tools for the knowledge expression and inference, but for difficulties in constructing its network structure and very high time complexity, it has not been considered as a classifier algorithm until the emergence of na ? ve - bayes classifier

    分類一直是數據挖掘、機器學習和模式識別等研究的核心問題，貝葉斯網路是作為知識表示和推理的強大工具，由於搜索空間巨大和學習困難的原因，直到樸素貝葉斯理論的出現才被作為分類器演算法，改進樸素貝葉斯分類器是貝葉斯分類器學習的一個主要的研究方向。遺傳演算法本質上是一種求解問題的高效并行全局搜索演算法，適合應用於那些改進的分類器的結構學習中。本文提出了一種基於遺傳演算法的ban分類器演算法。
  19. 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。
  20. In this thesis, the fundamental principle and system constituent of the electronic olfactory system are analyzed and studied ; a set of detection system of gas mixture, combined gas sensor array with artificial neural network pattern recognition technology, is designed and constructed. employing this system, the processing ability and identification results of several preprocessing algorithms and artificial neural network models are compared and analyzed. and finally the following conclusions are arrived : 1 ) gas sensor array coupled with pattern recognition technology has the good ability to identify the gas species and quantify its concentration

    本文分析研究了電子嗅覺系統的基本原理和系統組成，設計構建了一套氣體傳感器陣列和人工神經網路模式識別技術相結合的混合氣體檢測系統，並利用這套系統對目前在電子嗅覺系統中使用較廣泛的幾種信號預處理演算法和人工神經網路模型的處理能力和辨識效果進行了分析和比較，最後得出了以下結論： 1 ）氣體傳感器陣列與模式識別技術相結合能夠很好地分析和辨識混合氣體組份及其濃度。
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