冗餘節點 的英文怎麼說

中文拼音 [rǒngyújiédiǎn]
冗餘節點 英文
redundant node
  • 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
  • 節 : 節構詞成分。
  • 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「、」）...
  • 冗餘 : redundance; redundancy冗餘校驗 redundancy check; redundant check; 冗餘碼 redundant code; redundan...
  • 節點 : [電學] panel point; hybrid; packing; node; nodal points; joint of framework; pitch point; point pitch
  1. Also we design a link state database storage scheme of distributed storage and redundance backup which ease the implementation of the routing table computation in routing node and synchronization between neighbor routers

    同時對域內鏈路狀態數據庫採用了分散式存儲、冗餘備份的方案，易於實現各節點上的路由表計算及路由器間的同步。
  2. For the sake of prolonging the lifespan of nodes and improving the performance of stable and routing, a self - adaptive routing algorithm based on analytic hierarchy process ( ahp ) is proposed. the new algorithm induces ahp to cluster self - adaptively, and then it makes virtual backbone network by clusters and sinks, after that it creates routes in the virtual backbone network

    模擬實驗表明新演算法較flooding節能，能較好的克服flooding演算法中報文冗餘度高、能耗大等不足。為了盡可能地延長節點的生存期限，提高網路的穩定性與路由性能，提出了一種基於層次分析法的自適應分簇路由演算法。
  3. Models with different measurements precision based on phasor measurements are built. as for measurements with low precision, the voltage phasor of nodes with pmus are iterated as state variables. as for the measurements with enough precision, the measurements of pmu are regarded as state results directly

    在此基礎上，建立了基於相角量測的狀態估計模型，對不同精度的pmu量測值採用不同的狀態估計模型， pmu精度較低時，在增加量測量冗餘度的同時， pmu所在節點的電壓相量仍然作為狀態變量參加迭代； pmu精度足夠高時，直接將pmu的量測值作為狀態估計的狀態解， pmu所在節點的電壓相量不參加狀態估計。
  4. 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。
  5. For the backbone nodes, high - capacity dacs4 - 4 - 1 cross connect equipment with stm - 1s as its basic interfaces is used. between the various equipment, stm - 1 connections are directly used instead of tens of 2 mbits connections so that large amounts of hw equipment, power consumption, connecting lines between shelves and fault rate can be reduced, while network redundancy can be improved

    骨幹節點採用以stm 1為基本介面的大容量dacs4 - 4 - 1交叉機。各種設備之間直接使用stm - 1連接，不再使用幾十個2mbits連接，可以大大減少設備硬體數量，降低電源消耗，機架之間連接線顯著減少，降低故障發生率，提高網路冗餘度，也可以降低建設和維護成本。
  6. In the clustered system, the data nodes have strong independency. in order to improve the concurrency, we put forward a sort of redundant array of independent data node ( raidn ), which is similar to raid 5. we also discuss its fault tolerant and propose a parity extension algorithm called sequence - extend

    在我們提出的并行結構中，數據節點獨立性很強，為提高數據的並發度、負載平衡及容錯性，本文提出了一種類似raid5結構的獨立冗餘數據節點陣列raidn ，討論了系統的容錯性，並提出了一種稱為「順推法」的奇偶效驗位擴展演算法。
  7. Analysis and experiments show that this scheme can reduces the amount of needless packets, meanwhile has characteristics both of short response time and the economized cost of maintenances of nodes

    分析和實驗表明，告知泛洪降低了冗餘搜索包的數量，同時具有響應時間短，節點維護開銷小的優點。
  8. 2. ga optimized bp neural network first, selected function for evaluating. second, used matlab toolbox to design ga ( chosen selection methods, crossover type, and mutation probability ). ga could get rid of redundant node and branch effectively from bp network, and optimized it

    （ 2 ）遺傳演算法優化網路首先確定評估函數，再利用matlab提供的遺傳演算法工具箱進行演算法設計（確定選擇方法、交叉類型、變異概率等） ，剔除網路冗餘節點和分支，實現對bp網路的優化。
  9. The batch algorithm in this paper reduces the redundant computation in each node for generating its children by the presented definition of expansion - equivalence class, thereby improves the algorithm ? efficiency

    而本文中批生成演算法通過提出的擴展等價類這一概念來有效地減少了在每個節點處計算其子節點的冗餘計算量，從而達到提高演算法效率的目的。
  10. Interest management has mainly two goals, one is reduction of irrelevant data to flow to additional simulation nodes and network bandwidths to consume, the other is to cut down the consumption of performing data filtering in receiving simulation nodes

    興趣管理的目的主要有兩個：一是盡可能減少不相關數據在模擬站點之間的流動，減少網路帶寬的佔用；二是降低模擬節點接收冗餘數據時引起的處理開銷。
  11. 3 ) to discover association rules, we present a framework based on concept lattice. first, in the light of the requirement of mining association rules, the structure of concept node is simplified, and the corresponding building algorithm is developed. then we give out the algorithms for extracting association rules from the lattice based on intent reduct, where two properties are exploited to remove the redundant rules

    首先，針對關聯規則發現的需求，我們對概念格節點的結構進行了相應的簡化修改，並給出了相應的構造演算法；然後基於內涵縮減，我們給出了從格上提取關聯規則的演算法偽碼，兩個性質被用來去除冗餘的關聯規則；文中還分析了基於概念格的關聯規則發現與傳統的發現演算法相比所具有一系列的優點。
  12. However, these methods have more or less demerits, such as too many searching packets, long response time, and high cost on systematic node maintenances

    但這些方法存在冗餘搜索包多、響應時間長、和系統節點維護開銷大等方面的問題。
  13. For example, cable backup was adopted as alternative for cable and wireless facilities. different networks were configured to support each other. dual node redundant equipment was installed at key venues

    如以有線備有線，無線備有線；不同網路互相支持，重要場館採用雙節點的冗餘設備；話音通道雙向收容等措施。
  14. However, these systems will break down if any pat fails. moreover, the measurement and control modules lack of the ability of self - adapting and self - decision. single control and processing system ca n ' t deal with complicated situations effectively when there are many components and many kinds of information

    但是，上述系統的可靠性是通過單個設備的可靠性和關鍵部件的冗餘來實現的，往往由於個別環節的故障導致整個系統不能正常工作；各測控節點缺乏自適應性和主動性;當系統的規模比較大、信息種類比較多時，單一的系統控制處理往往不能適應復雜的變化情況。
  15. Also, a detailed design on choosing the initial work node, network redundancy degree, sleeping node ’ s wake up rate was given

    文中對演算法在初始工作節點的選擇、網路的冗餘度、睡眠節點的醒來率等性能方面給出了詳細的設計。
  16. 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。
  17. Finally, in order to resolve the problem that energies of nodes near the sink deplete too fast, the influence of redundant sensor nodes distribution is researched. layered network architecture based on regular hexagonal cells is introduced. taking cells as the minimum working units instead of sensor nodes, optimal distribution of redundant nodes is investigated so that network lifetime can be prolonged as much as possible

    介紹了基於正六邊形網格的分層網路結構;以網格作為網路的最小工作單元，研究了如何分配無線傳感器網路的冗餘節點來延長網路壽命;通過對網路壽命的分析，獲得了由各層網格的冗餘節點倍數向量rn 、 1 - n層節點倍增值rt和分配剩餘冗餘節點的概率密度函數f （ k ）共同構成的網路冗餘節點最優分佈條件。
  18. In addition, the redundant nodes in network are distributed with optimal distribution conditions, enabling the network life - time to ultimately meet the requirements of substation automation system applications

    將網路中的冗餘節點按最優分佈條件進行分佈，使得網路壽命最終能夠滿足變電站自動化系統的要求。
  19. 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。
  20. However, the powers of sensor nodes are provided by their equipped batteries and currently they can ’ t guarantee the network ’ s long time working. so energy - efficient mechanisms such as balancing the energy consumption of network, increasing redundant nodes, sleeping, data aggregation and data compression are used to prolong the network lifetime in hydrogenerator condition monitoring

    但由於傳感器節點採用電池供電，現有技術條件下電池的壽命不能滿足無線傳感器網路長期工作的需要，所以採用均衡網路節點消耗的能量、增加冗餘節點、採用休眠機制、進行數據融合和數據壓縮等機制高效的使用傳感器節點的能量、延長網路的壽命是無線傳感器網路用於水電機組狀態監測必須解決的問題。
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