收斂性檢定 的英文怎麼說

中文拼音 [shōuliǎnxìngjiǎndìng]
收斂性檢定 英文
test for convergence
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  • 檢定 : docimasy; docimasia; verification; calibration; appraisal檢定報告 probation report; 檢定滴定管 [...
  1. Immune clone strategy is introduced into c - means algorithm, which can effectively tackle those problems of nonstability, slow convergence and nonideal clustering that exist in ids with the traditional c - means. the experimental results reveal that the system can detect variety of unknown abnormal intrusions, and demonstrate that our combined clustering algorithm has good performance

    實驗結果證明該上述兩種演算法有效地克服了傳統c -均值聚類演算法在解決入侵檢測問題中的穩定性差、收斂性不好和聚類效果不理想等問題，並能在一定程度上檢測到未知的異常入侵行為。
  2. 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
  3. Some comparisons between the improved scheme and original scheme were given through several numerical experiments. the results showed that the improved scheme had higher resolution for discontinuity, especially for the shock and shear flow, it also had the more accurate solution for the viscous flow

    經一維和二維典型算例檢驗證實，改進后的格式對激波和剪切流的解析度得到了加強，求解的準確性和收斂性都有一定的提高。
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