鄰近標分 的英文怎麼說

中文拼音 [līnjìnbiāofēn]
鄰近標分 英文
adjacent stand
  • 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...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 鄰近 : nearclose toadjacent to
  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. A good many case of approaching excavation are studied in this article, such as the study of infection of be coal mining to the huayingshan tunnel, technology study of strucked tunnels of metro in shenzhen, countermeasure study of tunnel approaching pile foundation of metro in guangzhou, excavation methods optimized of large cross section subaqueous tunnel approaching pile foundation of lrt in chongqing, etc. on the basic of analysing and concluding relative study production all over the the world by the numbers, classification of approaching excavation, partition of approach zone, formula of partition of approaching zone, approach degree and countermeasure grade of generalized approaching excavation of underground works are put forward. general methods studying and trea

    本文結合作者多年來對華鎣山隧道減少壓煤量研究、深圳地鐵重疊隧道第11頁西南交通大學博士研究主學位論文技術研究、廣州地鐵公紀區間廣紡聯段鄰樁施工對策研究和重慶輕軌大坪大斷面車站鄰近基礎淺埋暗挖工法優化分析等諸多近接施工問題案例的研究，在系統分析和歸納總結國內外相關研究成果的基礎上，系統地提出了廣義的地下工程近接施工的分類、分區、分區指標表達式、近接度與對策等級概念以及分區、分度準則，給出了研究和解決近接施工問題的普遍方法，如數值分析先行，模型試驗、現場測試驗證等。
  3. The jiangjun hotel jiangjun dajiudian is located at the west of the jiangjun bridge, near the jingshan park, enjoy a good environment. it is about 20km from the airport and 8km from the railway station

    將軍大酒店按四星級標準建造，地處市區將軍橋西，正對過境公路，近鄰秀麗的景山公園，周邊環境幽美，商業氣息濃郁，交通十分便利。
  4. The emphasis of the thesis is base - band signal shaping and programmable interpolation algorithm. we introduce the basic theory of base - band signal shaping, and the effect of the digitizing of the ideal raised cosine rollof signal g ( t ) is attentioned. the shaping filter parameters are determined based on the system specifications, and the simulation results are given

    首先從降低鄰近碼間干擾原則出發，討論了基帶成形的基本原理與升餘弦滾降濾波器的時頻特性，重點分析將理想的滾降波形g （ t ）數字化后對頻譜的影響，並且根據系統指標，確定了各項參數，給出了具體的設計舉例和模擬結果。
  5. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  6. 423 persons answered the questionnaires and 139 out of them were identified as ecotourists. the result of classification is proved to be effective by prediction validity test, content validity test, theory validity test and convergence validity test. in addition, the ecotourists were classified as hard ecotourists, frequent ecotourists and occasional ecotourists farther according to the times they traveled to nature - based destinations every year and their new ecological paradigm grade which is used to evaluate the visitors attitude to environment. frequent ecotourists and occasional ecotourists both fall category of soft ecotourists, so the " hard - soft " classification system is founded, which will help propel ecotourist studies in china to develop towards the current international mainstream of the field

    以北京市百花山自然保護區為例，在總結國外相關研究經驗的基礎上，採用k階最近鄰knn和反向傳播bp前饋型多層神經網路所構成的綜合分類器對百花山遊客中的生態旅遊者進行識別，又根據「每年去相對原始的自然區域的旅遊次數」和環境態度尺度nep得分兩項指標將生態旅遊者進一步細分為嚴格的生態旅遊者經常的生態旅遊者和偶爾的生態旅遊者，其中經常的生態旅遊者和偶爾的生態旅遊者歸為一般的生態旅遊者，從而構建起嚴格的一般的生態旅遊者分類體系。
  7. On the basis of displacement - time series of the slope, a nonlinear dynamic model is set up according to backus generalized linear inversion theory in this paper. due to the equivalence beween autonomous gradient system and catastrophe model, a standard cusp catastrophe model can be obtained through variable substitution. the method is used in analysis of displacement data of huangci landslide and wolongsi landslide and in understanding how slopes evolve before sliding. the result shows that the nonlinear dynamic model can make satisfactory prediction result. is it most important that there is a sudden fall of d, which indicates the occurrence of catastrophe ( when d = 0 )

    研究表明，滑坡變形失穩過程具有混沌和分維特性，可以用分形理論來研究滑坡預測問題，基於對任一連續函數，至少在較小的鄰域內可以用多項式任意逼近的數學理論，運用改進的backus廣義線性反演理論，以斜坡位移時間序列為基礎，反演了斜坡演化的非線性動力學模型。並利用自治梯度系統與突變模型的等價性，通過變量代換得到標準的尖點突變模型。
  8. Through statistics and analysis of fluid a nomaly characteristics, this paper obtained the time distribution characteristics of fluid a nomaly of the moderately strong earthquakes, especially those with intensity v, earth quakes in beijing and its adjacent area, and summarized the leading time of each phases anomaly before the earthquakes, which can be regarded as index of occurrence time of earthquakes

    通過對流體異常特徵的統計分析，給出了北京及鄰近地區的中期、中短期、短期和短臨異常的時間分佈特徵，並對地震前各階段異常的超前時間進行了總結，該時間可作為發震時間的預測指標。
  9. In order to reduce the disadvantageous influence of decision profiles ' scattering on fusion recognition, the decision profile is taken as target ' s feature vector and k - nearest neighbor method is applied to classify the target

    為減少目標決策分布圖散布對融合識別效果的影響，提出採用k近鄰方法對目標的決策分布圖進行分類，以實現融合識別。
  10. Further more, we improve the nearest neighbor approximation method by calculat e mixtures ordered by likelihood of being the best scoring mixture. the likelihood is calculating from previously processed data. this improved method can reduce recognition time by 15. 56 % compared with standard viterbi beam search algorithm

    本文對最近鄰快速估算方法進行改進，在搜索過程中根據已處理過的數據統計出各個高斯混合分量產生最高對數概率的概率，並依此預測隨后的計算中最有可能產生最高對數概率的高斯混合分量，優先計算更有可能產生最高對數概率的高斯混合分量，使標準viterbibeam搜索演算法的搜索速度提高了15 . 56 。
  11. The two impulses optimal rendezvous between coplanar neighboring circular orbits is studied using genetic algorithms

    2利用遺產演算法分析了混合指標下鄰近圓軌道的雙沖量最優交會。
  12. In this dissertation, base on the review and analysis of current mainstream algorithms and techniques, we build up whole rtr system, and study some efficient recognition methods for different radar characters. the major research work and contributions in this dissertation are summarized as below : 1. summarized current popular pattern recognition methods, this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier, multi - layer perceptron and rbfn ( radial basis function network )

    本文在總結當前主流雷達目標識別演算法的基礎上，建立起基於gbr的雷達目標識別系統，並且對彈道導彈的各種特識別方法進行了研究，主要進行的工作和創新有: 1 .研究和總結了當前常用的分類識別方法，針對雷達目標識別的特點，對近鄰分類器、多層感知器和徑向基函數網路（ rbfn ）分類器的演算法和性能進行了研究。
  13. These technologies include the procedure of classification and the preprocessing of classification data and compared and evaluated criterion of classification methods. several of typical classification algorithms are compared which are decision - tree and k - nearest neighbor and neural network algorithm. then the emphasis of the paper is induced that divide the classification to eager and lazy and the research of classification algorithm in data mining is based on this divide

    討論了數據挖掘中分類的基本技術，包括數據分類的過程，分類數據所需的數據預處理技術，以及分類方法的比較和評估標準；比較了幾種典型的分類演算法，包括決策樹、 k -最近鄰分類、神經網路演算法；接著，引出本文的研究重點，即將分類演算法劃分為急切分類和懶散分類，並基於這種劃分展開對數據挖掘分類演算法的研究。
  14. The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm

    在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。
  15. In order to solve this problem, this paper proposes one kind of new topology - aware p2p network routing protocol and constructs its model tabip. it according to territorial continuity of ip address ( public network ip address ), and its node id and object id includes the information of ip address that is organized by country id. it is consistent between the node ’ s proximity of overlay network and physical node ’ s proximity

    為了解決這一問題，本文提出一種新的拓撲相關p2p網路路由協議並構建其模型tabip ，它依據公網ip地址分配的區域連續性規律，在生成節點和對象標識符時加入按國家編號組織的ip地址信息，使得覆蓋網上節點的鄰近和實際節點的鄰近趨於一致。
  16. In this paper, we describe the study background, meaning and methods of passive acoustic detective network, summarize the basic theories and methods of target tracking and data association, analyze some tipical data association algorithms include the nearest neighbor algorithm ( nn ), probabilistic data association filtering ( pdaf ), joint probabilistic data association filtering ( jpdaf ), multiple hypothesis tracking ( mht ), and multidimensional s - d assignment algorithm. 2. in detective network, sometimes a surveillance region have only single sensor

    從整體上描述了無源聲音探測網路的研究背景、意義、基本框架和研究方法，概述了目標跟蹤與數據關聯的基本理論與方法，重點分析了幾種典型的數據關聯方法，包括最近鄰方法、概率數據關聯濾波器（ pdaf ） 、聯合概率數據關聯濾波器（ jpdaf ） 、多假設跟蹤（ mht ）以及多維s - d分配演算法。
  17. Two interactive segmentation methods, snake ( active contour ) and live wire, which are very popular, have been introduced for the medical image segmentation. a snake is a spline curve, which is controlled by an energy equation. to minimize the snake ' s total energy, the finite difference and greedy algorithm have been implemented

    論文引入了snake和livewire兩種十分流行的醫學圖像交互分割方法，詳細推導snake的能量方程，實現了最小化能量方程的有限差分和greedy兩種演算法，並利用鄰近圖像的相似性，將其成功應用於圖像序列的分割； livewire是一種象素級的輪廓搜索演算法，它在方向圖中找到開始點和目標點之間的最小代價路徑。
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