模式識別法 的英文怎麼說

中文拼音 [móshìzhìbiéfǎ]
模式識別法 英文
pattern-recongnition method
  • 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）
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 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. 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。
  2. Euclid distance discriminance is developed to recognize mixed patterns

    研究了基於rsfm網路的控制圖模式識別方法。
  3. The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance

    採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。
  4. 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。
  5. On the major premise of feasibility of this theory, this article based on the practice of fore - runners, has done some further research work about the application of genetic algorithm for image compression and pattern - recognition with a satisfactory result

    基於這個理論可行性的大前提，本文在吸取前人實踐經驗的基礎之上，深入研究了遺傳演算法在圖像壓縮，模式識別兩個問題中的應用策略，並得到了比較滿意的結果。
  6. 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。
  7. Application of multipolar fuzzy recognition model to river water quality assessment

    多級模糊模式識別方法用於河流水質評價
  8. A context - dependent polyphone disambiguation technology was proposed, combined with the decision tree and maximum entropy methods, the accuracy can be improved to 99. 82 %

    採取結合上下文信息及語法信息的多音字消歧技術，利用決策樹和最大熵等模式識別方法，使注音正確率達到99 . 82 % 。
  9. 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。
  10. A novel learning algorithm for synergetic pattern recognition

    一種新的協同模式識別學習演算法
  11. 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。
  12. 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。
  13. The method of bispectrum can extract characteristic of seismic series bispectrum and detect fracture zones by decreasing dimensions

    雙譜法通過採用模式識別的方法對地震序列的雙譜提取特徵，通過降維實現裂縫發育帶的檢測。
  14. 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。
  15. According to the data of drilling and other geological investigation on the lpg storage of jinzhou, and taking into account main factors that affecting stability of the storage and other classification standard, this paper selects five evaluating factors. using pattern recognition method and muti - step fuzzy classification clustering method to classify

    根據錦州lpg洞庫的地質勘察資料，考慮到影響洞庫圍巖穩定性的主要因素，結合已有的分類標準，本文選取了5個評價因子，用模式識別法與多級模糊聚類法來進行場地巖體的穩定性分類。
  16. Evalution for the quality of nitrendipine tablets with patterm recognition

    模式識別法評價尼群地平片的質量
  17. This paper is concerned with the popular texture analysis technique in the traditional image recognition, the novel pattern recognition approach, namely synergetic neural network pattern recognition, and their applications. furthermore, it proposes and implements an offline handwriting identification multi - classifier. it is organized as follows

    本論文研究了傳統圖像識別方法中常用的紋理分析法及一種新的模式識別方法? ?協同神經網路模式識別法及其應用，並在此基礎上構造了一個離線手寫體筆跡鑒別多分類器模型。
  18. Prm : patter recogniton method

    模式識別法
  19. Firstly, aiming at the state of intelligent structure the art on the theoretic and applied research work, clearly define the conception of the intelligent structure ; discuss the components of the intelligent structure ; introduce the characteristic of artificial neural net ( ann ) which is used on the civil engineering structure ; discuss the method that is suit to the intelligent structure - mode identification based on ann ; discuss the research content of the intelligent structure ; and both the characteristic of the intelligent structure design and its flow chart are discussed

    本文對智能結構的理論框架及其健康狀態的檢測與監測進行了一些探索和研究。首先針對智能結構的理論和應用研究現狀，明確地闡明了智能結構的定義和概念，全面論述了智能結構構成要素；論述了智能結構健康診斷的實現方式? ?人工神經網路的模式識別法；論述了智能結構的研究內容，指出了智能結構的設計特點及流程。
  20. In recent years, many new theories and methods emerged in pattern recognition field, one of which is subspace method

    近年來，模式識別領域出現了一些新的理論和方法，子空間模式識別法就是其中之一。
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