鄰近數據點 的英文怎麼說

中文拼音 [līnjìnshǔjùdiǎn]
鄰近數據點 英文
neighboring data points
  • 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...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 鄰近 : nearclose toadjacent to
  • 據點 : strongpoint; fortified point; stronghold
  1. Analysis of abnormal data in the measurement of film magnetostriction by false neighbor method

    偽鄰近點法分析薄膜磁致伸縮測試中異常數據
  2. In this paper, we first reconstruct a second order polynomial surface to approximate the original point model in the local area of each point, which is then restricted within a so - called - confidence region, producing a - surfel

    摘要在每個點附近重建一個二次多項式函數曲面逼近原點模型，並根據逼近誤差將每個重建曲面限制在稱為置信鄰域的范圍內，從而形成一個面元。
  3. Firstly, the three main harmful factors " characters and rules, theirs effect on civil house, demolishment criterion and control measure will be researched systemically. secondly, fuzzy mathematics, system arrangement analytical method and expert consultation method are put forward and discussed specially to set up civil house security fuzzy multi - arrangement elevation model, to evaluate blasting harmful factors " effect to neighborhood civil house ' s safety in the construction of express way, to predict the security of civil house and to bring forward control measures. lately, the forecast of the civil houses " safety by using bp neural net model and optimize of the blasting parameters will also be discussed in the dissertation

    本文的主要研究工作有：系統地研究了爆破地震、爆破飛石、爆破空氣沖擊波三大有害因素的特徵及規律、對民房的影響、破壞判據和控制措施；提出並重點論述採用模糊數學和系統層次分析法及專家咨詢法建立民房安全性模糊多層次評價模型，對高速公路建設中爆破有害因素對鄰近民房安全進行評價，預測民房安全性，提出控制措施；利用bp神經網路模型對民房安全進行預測，並對爆破參數進行優化。
  4. An additional factor which plays apart in estimation of the values at the grid nodes is weighting to be placed on the different data values located by the nearest neighbor search.

    在估計網路結點值時，部分起用以另一個因素及對最鄰近點搜尋中找出的不同數據值所給的權。
  5. 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。
  6. After the orderly reduction methods of massive scattered data being studied, this paper proposes a partial tangent plane slicing method and a virtual second - scan line method after giving a new k - nearest algorithm to re - organize the massive data. the new proposed methods of data reduction and grey theory based unusual noisy data process can be used to generate the scan line type data and it can be directly used to reconstruct curves and surfaces. the research lays a good foundation for reconstructing the cad model in a point - line - surface manner

    4 .深入研究了海量散亂數據的有序簡化技術，在提出建立海量數據點鄰接關系k -鄰近新的演算法基礎上，提出了局部切平面切片法和虛擬二次掃描線法，實現了海量數據的有序重組，通過基於灰理論的數據簡化和異常點處理新方法，生成可用於直接重構曲線曲面的掃描線類型數據，為以點?線?面方式重構cad模型打下了良好的基礎。
  7. ( 1 ) in the case of short data set, to select embedding space parameters as fast and exact as possible, the improved across displacement method for selecting time delay and the relative gain ratio of false neighbors

    （ 1 ）在短數據集情況下，為了快速、合理地選擇嵌入空間參數，提出了延遲時間選擇的交叉位移改進法和嵌入維數選擇的偽近鄰距離統計增長法，其特點是速度快、重復性好。
  8. 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。
  9. Then, because of the characteristic of complex engineering systems like fighters, such as modeling difficulty, multiplicity work situations, difficulty and expensiveness for test, a new kind of fast fault predictor is designed based on an improved k - nearest neighbor method, which neither need math model of system nor need data for train and knowledge

    其次，針對殲擊機等復雜工程系統建模困難、工作情況多樣、試驗困難且代價高昂的特點，提出了一種改進k近鄰密度估計方法，設計了一種完全既不需要系統數學模型也不需要故障訓練數據和先驗知識的實時故障預報器。
  10. The typical optimizing criterion of triangulation is max - min angle criteria, but it has some restriction when applying in three dimensions. we proposed some amelioration by taking into consider the relationship of points and their neighbors. that can make the triangulation ' s space variation more even, and can reach the surface fairness request

    對三角剖分中的典型優化準則?最小內角最大準則應用於三維空間中時的局限性問題提出了改進方法，充分考慮數據點與近鄰點的空間關系，使三角剖分的空間形狀變化盡量均勻，保證了三角剖分網格的光順性要求。
  11. In this density - based outlier mining algorithm, it takes two divided methods to get k - nearest neighbor, which efficiently reduces time complexity and space complexity

    基於密度的離群點挖掘演算法對計算數據的k -最近鄰採用二分法，較大減小了時間復雜度和空間復雜度。
  12. 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。
  13. The study identifies that opportunities exist to turn hong kong into a pedestrian city. as rail is one of the main public transport networks under the government s transport strategy, the majority of population and jobs are and will be in the neighbourhood of railways

    根據政府的運輸策略，鐵路是主要的公共運輸網路之一，大多數人的住所或工作地點均鄰近鐵路車站，將來亦會如此發展。步行前往鐵路車站，將逐漸成為主要交通模式其中一環。
  14. 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。
  15. Its main characteristics include the following parts : ( 1 ) the trait of matching of network, as it manages the information of peers by grouping according to their location in the internet ; ( 2 ) easy to implement, as it distributes the video data according to the need of peers, and does not have to maintain a complex global structure ; ( 3 ) robust and resilient, as it can adapt the complex and dynamic environment of network very well ; ( 4 ) good expansibility, as it has better performance with the increase of users ; ( 5 ) high utilizing of bandwidth, as it can control the peers according to the change of bandwidth of them and make good use of their bandwidth ; ( 6 ) low delay of peer to peer, as it considers the delay among peers sufficiently besides the bandwidth, and makes the delay of peer to peer is low

    該視頻流媒體網路模型在網路帶寬效率、延遲和可靠性之間做出了很好的平衡，它的主要特點有: （ 1 ）網路匹配特性，使用終端用戶的網路位置信息來對節點進行分組管理，對節點間的鄰近度進行優化; （ 2 ）易於實現，根據數據的流向來分發視頻流媒體數據，不需要維護復雜的數據結構; （ 3 ）適應性強，能很好的適應復雜變化的網路環境; （ 4 ）擴展性好，加入視頻流媒體網路中的用戶越多，性能越好; （ 5 ）帶寬利用率高，及時對每個節點的帶寬變化情況進行控制，充分利用空閑帶寬; （ 6 ）端對端延遲小，通過在帶寬和延遲之間達到平衡使得端對端延遲減小。
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