最近鄰法 的英文怎麼說

中文拼音 [zuìjìnlīnfǎ]
最近鄰法 英文
nearest neighbor method
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 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...
  • 近鄰 : near neighbour; neighbour; close neighbour
  1. A variety of methods including the tabular comparison of data, the tabular comparison of similarity coefficient, the nearest neighbor method and the group - average method of hierarchical agglomerative classification were applied to investigate the forest communities in meizi lake area

    森林植被樣地中以喬木層樹種的重要值為指標，採用紙條排隊法、群落相似系數分類法、最近鄰體法、組平均法對梅子湖森林植被樣地進行數量分類。
  2. The nearest neighbors of each individual and the distances between each individual - neighbor pair in elaeagnus mollis communities were obtained by using the nearest neighbor ' s analysis. based on the primary results above, the spatial pattern and interspecific segregation in the communities were studied by x2 test with a subtable method of a n n nearest - neighbor contingency table

    應用最近鄰體法判定每個個體的最近鄰體植株，得到每個基株-最近鄰體種對的距離，進而採用n n最近鄰體列聯表的截表法，研究了翅果油數群落的種間分離。
  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. Compared with the behavior of macromolecules in real solution system, the adsorption information in the monte carlo simulation system, such as adsorption isotherm, surface coverage, and bound fraction, was studied for discussing its relation to simulation parameters. five - selection simple cubic lattice, self - avoiding walk, and nearest interaction model were used to construct the homopolymer adsorption model on the solid - liquid interface. periodic boundary conditions were used to reduce the fixed error from limited cubic lattice in size

    模擬中採用五選擇簡單立方格子上的自迴避行走和最近鄰相互作用模型；使用周期性邊界條件以減小有限大格子空間帶來的系統誤差；用鏈節間相互作用能、界面吸附能、體相濃度和鏈長約束體系中的高分子的吸附行為；用末端轉動、 l -翻轉、曲柄運動、蛇形運動和r - r切除-生長法對模擬體系進行擾動；用系統達到吸附平衡后的樣本來研究模擬體系中的高分子鏈在固液界面上的吸附。
  5. As an important component of the above researches, this paper covers following aspects : ? firstly, product design theories are summarized, status and development trend of machinery product design are analyzed, and application of knowledge based design method in machinery product design is put forward. ? kbe ( knowledge based engineering ) theories such as knowledge acquisition, representation and storage are discussed, kbe concept is integrated with ug secondary development technology, and design knowledge is induced and stored to establish the design knowledge base. ? product case representation is researched, a hierarchical tree type product case library for complex products is established, retrieve strategy for cases of the nearest filed is put forward and corresponding algorithm is given

    本文的主要研究內容及成果如下: ?對產品設計理論和方法進行了總結和概括，分析了機械產品設計的現狀和發展趨勢，將基於知識的設計方法應用到機械產品的設計中; ?研究了知識獲取、表達、存儲等kbe理論，並將kbe思想應用到ug二次開發中，將設計知識歸納存儲，建立了設計知識庫; ?研究了產品實例表示，建立了復雜產品層次樹狀產品實例庫，介紹了最近鄰域實例檢索策略並給出相應的演算法; ?研究了基於知識重用的三維產品建模技術，研究了在設計過程中的設計資源的重用，計算過程的重用，計算數據的重用，推理過程的重用等等;介紹了基於設計重用的凸輪三維模型的實現方法。
  6. In video shot segmentation, an improvement to double - threold shot segmentation algorithm is provided, which uses multi - frame sampling technique and can improve the performance significantly on the detection of gradual transition. an abrupt transition detection algorithm is also developed on the basis of the closest pixels matching in spatio - temporal slice, which decreases the false rate and computing strength greatly

    在視頻鏡頭分割方面，提出了一種基於多幀抽樣的雙重比較鏡頭分割演算法，有效地提高了對視頻鏡頭漸變檢測的性能;同時，針對視頻鏡頭突變的檢測，提出了一種基於最近鄰像素匹配的時空切片鏡頭突變檢測演算法，該演算法顯著降低了突變檢測的虛檢率和計算量。
  7. First, realized a wegener - willie distribute based network traffic anomaly detection algorithm. we make use of wegener - willie distribute to analyze the inherent time - frequency distribution characteristics of the traffic flow signal. then according to the experience of analysis on historical flow, we construct a normal flow training sample aggregation and a abnormal flow training sample aggregation

    通過魏格納-威利分佈分析網路流量信號在時頻分佈上所反映出的內在特點，根據歷史流量的經驗構造正常流量和異常流量兩個訓練樣本空間，通過k最近鄰分類演算法將帶檢測流量信號的時頻分佈與訓練樣本進行比較，完成對檢測樣本的自動分類識別。
  8. In this thesis, the method of similar estimation ( the nearest neighbor ) is applied to classify the feature character

    在特徵字的分類過程中，採用了相似形度量（最近鄰法）的方法。
  9. Firstly, based on conventional vq, a fast algorithm named equal - sum block - extending nearest neighbor search ( ebnns ) is presented, which not only can achieve the reconstructed image of full search algorithm but also can greatly reduce both the codeword search ratio and chip area. in order to improve coding efficiency, a new algorithm called correlation - inheritance coding is proposed, which is embedded in conventional vq system to improve compression ratio by re - encoding the indexes

    首先，在普通矢量量化基礎上提出了等和值塊擴展最近鄰快速碼字搜索演算法（ ebnns ） ，該演算法在圖像畫質達到窮盡搜索演算法的前提下，大大降低了碼字搜索率和硬體實現面積；為了提高編碼效率，在相關性編碼方面，提出了相關繼承編碼演算法，對普通矢量量化后的編碼索引進行無損重編碼。
  10. According to the math model of order picking and the structure of fixed shelf, it builds a circular route applied to engineering application and being easy to program

    結合揀選作業的數學模型和固定貨架的物理結構，構造了一種適合工程應用、編程簡單的環狀作業路徑，並將該演算法與最近鄰居法和混合遺傳演算法進行了分析比較。
  11. This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide

    本研究利用六種資料探勘方法，包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹，探討影響地震引起山崩的重要因子。
  12. In chapter five to reconst ruct the three - dimensional object cubes, various deconvolution algorithms : nearest neighbor, inverse filtering and constrained iterative deconvolution are developed and applied to both computer generated and experimentally measured image cubes. the best results are obtained using an svd inverse fourier deconvolution algorithm with regularization for noise suppression

    第五章為了重建三維目標立方，發展了各種去卷積演算法：最近鄰、逆濾波和帶約束的迭代去卷積，並應用到計算機產生和試驗測量的圖像立方中，最好的結果是利用具有規則抑制噪聲的svd逆傅立葉變換去卷積演算法獲得的。
  13. At last, svm algorithm has been applied to remote sensing image classification. compared with k near neighbor and adaptive min - distance algorithm, the experience result presents that svm algorithm has better classification effect. and the experience result also shows us that svm algorithm has good application foreground in the aspect of remote sensing image classification

    最後將svm演算法應用到遙感圖像的分類，通過與自適應最小距離法和k近鄰法的實驗結果進行比較，得出svm演算法具有更好的分類效果，也說明了svm演算法在遙感圖像分類方面具有很好的應用前景。
  14. The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design

    首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。
  15. The results are compared with the genetic algorithm in combination with the k - nearest neighbor ( knn ) classification rule

    最後，將比較的結果再與基因演演算法結合k個最近鄰法進行比較。
  16. Finally we analyze common data association algorithm such as nearest neighbor algorithm 、 probability data association algorithm and joint probability data association algorithm and adopt the nearest neighbor algorithm in our simulation system

    然後對當前比較常用的數據關聯演算法最近鄰法、概率數據關聯（ pda ）演算法以及聯合概率數據（ jpda ）演算法進行了分析選擇。
  17. When the discount coefficient is 1 and all weights of the nearest neighbor sample points are the same, the k - nn classification method based on evidence reasoning model will become the k - nn classification method based on evidence theory

    並且當折扣系數為1 ，且給定所有最近鄰樣本點權重相等時，基於證據推理模型的k - nn分類方法就成為基於證據理論的k - nn分類方法。
  18. Because the traditional collaborative filtering recommendation has certain insufficiency such as recommendation precision, the data processing efficiency, this article proposes a collaborative filtering method based on cluster and project forecast in coordination. after the users and the commodities are carried into gathers, the people of the same kind and the commodity of the same sort should be constructed the

    由於傳統協同過濾推薦在推薦精度、數據處理效率都有一定的不足，文中提出一種基於聚類和項目預測的協同過濾方法，把用戶、商品進行聚類后，將同屬一類的用戶、商品構建用戶? ?商品子矩陣，在該矩陣基礎上進行最近鄰查詢，從而計算用戶對未評分項目的預測評分。
  19. Cluster algorithm of go groups based on mathematical morphology

    基於數據分區的最近鄰優先聚類演算法
  20. A method based on fuzzy equivalence relation is applied to implement target classification and a synthetic algorithm is presented to fulfill multi - layer structure among groups by using the nearest - neighbor method and field knowledge

    應用基於模糊等價關系的方法實現目標編群，並提出一種基於域知識和最近鄰法相結合的演算法來實現群結構遞增形成的策略。
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