值冗餘性 的英文怎麼說

中文拼音 [zhírǒngyúxìng]
值冗餘性 英文
value redundancy
  • 冗 : [書面語]Ⅰ形容詞1. （多餘的） superfluous; redundant 2. （煩瑣） full of trivial detailsⅡ名詞（繁忙的事） business
  • 餘 : Ⅰ同「余」Ⅰ-Ⅳ1. Ⅱ名詞（姓氏） a surname
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 冗餘 : redundance; redundancy冗餘校驗 redundancy check; redundant check; 冗餘碼 redundant code; redundan...
  1. Abstract : the data redundant in relational database is caused by the reduplication of the table, attribute, record, or attribute value

    文摘:關系數據庫的數據冗餘形成的原因有表的重復、屬性的重復、元組的重復、屬性值的重復。
  2. So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio

    對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。
  3. 4. correspond to the characteristic of computer aided dimensional chain calculation, present the judgment of redundancy equations, judgment of increase - decrease chrematistic, auto assign of unknown, algorithm of equations sequence calculation, enhance the robust and the calculation succeed proportion of the software

    （ 4 ）針對尺寸鏈方程的計算機求解特點，提出了冗餘方程的判斷及刪除準則、組成環增減性判斷優化值法、未知數自動賦初值、方程組順序求解等演算法，大大提高了計算的成功率和軟體的健壯性。
  4. Actually, this is to resolve an over - determined nonlinear system including six output values and eight input values. so newton - gauss iterative algorithms is used, set up the target function in the sense of the least squares. it is discussed whether the minimal solution to the function exist and is single one while the astringency of newton - gauss method is analyzed

    對于冗餘驅動振動臺，其位姿正解是求解具有八個輸入、六個輸出的超定非線性方程組，因此本文採用了最小二乘法中的牛頓?高斯迭代法，建立最小二乘目標函數，對目標函數極小解的存在性、唯一性以及牛頓?高斯迭代法的收斂性進行了理論證明和分析，將求出的最小值作為位姿正解的最優解。
  5. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  6. Scientific and statistical databases ( ssdb ) have following characters, firstly, relation schema is relatively stable, and each attribute has limited candidate values with high redundancy, secondly, new arrival data only append to the end of current data area and do not change the exist data, thirdly, every relation is made up of plenty of attributes, but majority of queries only relative with less attributes and most queries are read - only queries

    科學與統計數據庫（ scientificandstatisticaldatabase ， ssdb ）具有如下特點: （ 1 ）關系的模式穩定、屬性值的值域有限、數據冗餘大; （ 2 ）新產生的數據只追加到當前數據末尾而不更新已有內容; （ 3 ）每個關系都由大量屬性組成，但大多數查詢只與少數幾個屬性相關且多為只讀操作。
  7. This paper researches the numeric approximation characteristic of series - parallel fuzzy system and points out that the number of fuzzy rules should not exceed the number of the samples. in addition, the influence of approximation error and system initial error on the performance of the series - parallel fuzzy system is also investigated

    本文研究了串並聯方式模糊系統的數字逼近特性，得出結論：當模糊規則數等於樣本數時，已經可以實現精確插值，因此模糊規則條數不能超過樣本數目，否則將冗餘，並可能引起振蕩，削弱模糊系統的泛化能力。
  8. In this paper, damped least - square method utilized to overcome kinematic singularity of robotic manipulators was improved, which achieved more accurate tracking compared to the traditional method. singular value decomposition ( svd ), to which was attached great importance in singularity - robust inverse kinematics and kinematic control of redundant manipulators, was investigated. also, an overwhelmingly utilized algorithm of svd was improved and some possible problems encountered in joint failure issues and redundant issues when using this algorithm was deeply discussed

    本文改進了解決機器人運動學奇異的阻尼最小二乘法，同傳統的阻尼最小二乘法相比具有更高的跟蹤精度;研究了在機器人奇異魯棒性逆運動學、機器人冗餘運動控制中佔有重要地位的矩陣奇異值分解，對一種應用廣泛的奇異值分解演算法做了改進，並對其在關節卡死和冗餘控制中可能遇到的問題做了較為深入的討論，系統地描述了一階運動學實現方案，為軌跡規劃打下了堅實的基礎。
  9. An algorithm for matching the esprit ' s estimation of two - dimensional angle by using twice svd and once schur is proposed. using two row uniformity sensor - arrays and adding one sensor, the algorithm decomposes the array twice and exploits rotational invariance properties of signal space, so that both angles may be computed via matrix pencil method, and these estimates are automatically paired. simulation results are presented to verify the efficacy of the proposed algorithm

    首先針對esprit演算法對窄帶源進行二維doa估計存在測向冗餘的情況，提出了一種改進演算法，該演算法利用子陣信號數據矩陣中包含的信號空間的旋轉不變性質，藉助于矩陣束方法求解出信號的二維到達角，並且利用兩次奇異值及一次schur分解從而實現了esprit二維doa估計參量的自動配對； 2
  10. Based on the built mathematic model for lunar robber a two - closed - loop tracking control strategy is proposed. this proposed strategy applies single neural sliding mode control method for nonhomonomic constraints, fuzzy control method for uncertain conditions and lagrange optimization calculation for the redundancy of the inputs

    考慮到系統模型中存在的非完整特性、參數不確定性和冗餘輸入，分別採用單神經元滑模變結構方法、模糊控制方法和拉格朗日極值法來設計控制器。
  11. For the reason that this method use the arrangement of characteristic light spot directly to avoid the aberrance that come out during calculating in traditional method, it can improve the estimation precision of position and attitude. besides, it provides a certain degree of redundancy to the visual navigation system

    由於該演算法直接利用特徵光點的幾何配置條件，避免了傳統演算法在計算過程中出現畸變的問題，從而提高了位置和姿態角估值的精度，並使月球車的視覺導航系統具有一定的冗餘性。
  12. Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data

    論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。
  13. At the same time, this paper puts forward a validity function for judging clustering in order to lead us to use it in k - nearest neighbor classification ; then introduces " generalization capability of a case " to k - nearest neighbour. according to the proposed approach, the cases with better generalization capability are maintained as the representative cases while those redundant cases found in their coverage are removed. we can find a new less but almost complete training data set, consequently reduce complexity of seeking near neighbour

    針對k值的學習，本文初步使用了遺傳演算法選擇較優的k值，同時總結了一種聚類有效性函數，數值實驗證實了其有效性，旨在指導應用於k -近鄰分類中；然後還將「擴張能力」的概念引入k -近鄰演算法，根據訓練集例子不同的覆蓋能力，刪除冗餘樣本，得到數量較小同時代表類別情況又比較完全的新的訓練集，從而降低查找近鄰復雜性。
  14. So at first in this paper, a disk - based xml data storage structure ldf & b based on f & b index is proposed. on one side, ldf & b wipes off the redundancy existing in traditional storage structure which stores the same value information repeatedly ; on the other hand, the index on the tape and the inverted index introduced in this storage structure enable nodes with the same property to be clustered when stored on disk, and enable nodes satisfied with the query to be searched effectively. that is to say, ldf & b can support xml query processing effectively

    為此，本文首先提出了一種基於f & b索引的xml數據的磁盤壓縮存儲結構ldf & b ，其優點在於:一方面， ldf & b摒除了傳統存儲方法中相同的值信息重復存儲帶來大量冗餘的問題;另一方面，該結構引入的同帶索引與反向索引結構將具有相同性質的節點聚集在一起，使得可以快速的定位到滿足條件的節點集，很好的支持了其上的查詢處理。
  15. Further more, according to the characteristic of long - distance real - time broadcast and the redundancy of video signal, the paper establishes a difference arithmetic on the basis of frame transform and then analyses the error, gives a correspond physical model in order to satisfy the demand of long - distance control for over - axis signal

    並針對遠距離實時轉播的特點和視頻信號的冗餘性，在幀變換的基礎上引入了差值演算法，並進行了誤差分析，提出了相應的物理模型，以滿足對越軸畫面的遠程控制。
  16. In addition to, the paper makes a concept tree represent knowledge, which not only checks redundancy of knowledge easily, but fits automatic navigation of student ' s learning, and which is worth to extending

    另外，本文提出的用概念樹來表示知識點，不僅方便檢查知識的冗餘性，而且適合學生學習的自動導航，值得推廣。
  17. The replicate of the limited class attribute value may result from the relation of one - to - one or one - to - many but the occasional replicate of the unlimited class attribute value is not data redundancy

    無限類屬性值偶爾重復不是數據冗餘，有限類屬性值的重復由一對多或多對多的關系所致，可相機處理之。
  18. A new method to determine the structure of sofm neural networks is put forward. singular values decomposition ( svd ) is performed on competitive layer ' s output. based on the distribution of the singular values, the number of neural nodes of competitive layer is chose

    將奇異值分解法引入自組織特徵映射（ sofm ）神經網路，壓縮線性相關部分，刪除冗餘節點，以確定sofm網路的合理分類數，豐富了sofm網路的無師特性。
  19. We first propose and implement a sequential word - level pattern parallel fs algorithrn for synchionous sequential circuits. differing from other similar algorithins, it utilizes the relative independence of every fault test sequence generated by the g - f two - value tg algorithm, pwtitions and dynamically mounts test pattem, avoids redundant simulation for added synchlronous sequence, and gets better results

    首先提出並實現了一個新的同步時序電路單機字級測試碼并行fs演算法，該演算法與現有同類方法的不同在於，利用確定性g - f二值tg演算法的每個故障測試序列之間的相對獨立性，對測試碼進行分解並動態組裝，避免了對添加的同步序列的冗餘模擬，效果較好。
分享友人
分享到 Line

分享到臉書