收斂性檢驗 的英文怎麼說

中文拼音 [shōuliǎnxìngjiǎnyàn]
收斂性檢驗 英文
test of convergence
  • : 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...
  • : Ⅰ動詞1 (收起; 收住) hold back; keep back 2 (約束) restrain 3 (收集; 徵收) gather; collect; ...
  • : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
  • : Ⅰ動詞1 (查) check up; inspect; examine 2 (約束; 檢點) restrain oneself; be careful in one s c...
  • : 動詞1. (察看; 查考) examine; check; test 2. (產生預期的效果) prove effective; produce the expected result
  • 收斂 : 1 (減弱或消失) weaken or disappear 2 (約束言行) restrain oneself 3 [數學] convergence; constr...
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque(指檢查船舶...
  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

    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測問題中的穩定差、不好和聚類效果不理想等問題,並能在一定程度上測到未知的異常入侵行為。
  2. Controlling time - specific and province - specific factors and serial correlation, we find there is conditional convergence of regional disparity for province - based rural development and internal disparity among the east, the middle and the west of china

    結果顯示,在考慮了時間和省份特殊效應、序列相關等因素的影響后,中國各省農村發展差距以及東中西部地區農村發展的內部差距均存在條件
  3. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵測系統對新的入侵行為有更好的識別能力和識別效率,本文在研究了各種基於無監督學習的入侵測特徵提取方法的基礎上,提出了基於增量核主成份分析( ikpca )的入侵測特徵提取方法,並對該方法進行了分析,同時結合模擬試對其正確進行了證;另外,本文通過研究獨立成份分析和神經網路,提出了基於快速獨立成份分析和神經網路的入侵測方法( fastica - nnids ) ,並通過對kddcup99的10 %數據集的測比較了核主成份分析( kpca ) 、增量核主成份分析( ikpca )和快速獨立成份分析( fastica )在入侵測特徵提取方面的優缺點。
  4. The specific research methods include : the reliability and validity of the scale ( cronbach ’ s of the scale, split - half reliability, the reliability of each dimension, discriminant validity, convergent validity ) ; the factor analysis method to get the dimensions of internal service quality ; the independent - samples t - test and paired - samples t - test method to analyze every discrimination of internal service quality ; the comparison of means to evaluate the sequence of every dimension

    具體的研究方法包括:對量表進行信度和效度分析,包括整個表的cronbach系數、分半信度、各維度的信度、區別效度和效度的分析;使用因子分析的方法測量內部服務質量包含的維度;採用兩獨立樣本的t和兩配對樣本的t的統計方法對內部服務質量各差距進行分析;通過對樣本均值的比較,分別得出各維度在員工和管理者心目中的重要排序。
  5. Finally, the paper clarified the concept of hard ecotourists, frequent ecotourists and experienced ecotourists ever used in others s research

    分類結果經預測有效內容有效理論有效有效,效果較好。
  6. 3 a novel recursive least - square ( rls ) blind space - time receiver algorithm based on the constrained condition, which can completely avoid the matrix inversion introduced into by constraints ( comparing with the normal rls ), is proposed for multi - path slow fading cdma channels. the computational complexity of this method is not only lower than that of the normal rls, but also lower than that of both lms and ls blind space - time receiver methods that are realized based on the rosen ' s gradient projection. and the speed of convergence of the presented rls blind space - time receiver algorithm is better than that of both lms and ls blind space - time receiver methods

    3 、針對多徑慢衰落通道下ds - cdma盲空時接機中線約束二次規劃問題提出一種新的遞歸最小二乘演算法,該演算法完全避免因約束而引進的矩陣求逆運算(相對于常規的遞歸最小二乘演算法) ,不但運算量比常規的要低,而且比基於rosen梯度投影實現的最小均方( lms )與最小二乘盲空時接機演算法還低,且速度比基於rosen梯度投影實現的最小均方( lms )與最小二乘盲空時多用戶測都好,將提出的新的遞歸最小二乘演算法與提出的數據選擇方案結合起來可以進一步降低其運算量,具有很大的實用價值,最後通過模擬實進一步分析了其能。
  7. We test the convergence with unit root test of panel data to examine the trend of china rural development regional disparity

    為了考察中國農村發展地區差距的變化趨勢,我們採用面板數據單位根的不同方法對其進行了嚴格的計量
  8. For automobile aerodynamics there are many researching works that have to be completed in future, if cfd could be successfully and widely applied in auto manufacture as in the air flight and space flight

    在數值計算上和精度也有待改進。數值計算不能完全替代試,試對于校正cfd方法和cfd結果是非常必要的。
  9. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後,分析和闡明了傳統的運動目標測方法的不足,並在此基礎上結合研究中的實際實環境,提出了一系列解決方法,包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標測方法,針對實環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法,為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線插值進行畸變校正的方法;緊接著,概述了神經網路的發展歷史和幾種常用神經網路模型的特點,重點研究了前饋型神經網路在模式識別中的應用問題,詳細闡述了基本的bp演算法和學習過程中bp演算法的改進,從而使網路速度更快,解決問題更有效,並在此基礎上,設計了一個基於bp神經網路的運動目標識別系統,給出了實結果。
  10. 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,求解的準確都有一定的提高。
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