節點權 的英文怎麼說
中文拼音 [jiédiǎnquán]
節點權
英文
node weight-
In the simplified model the feeder switches are regarded as the vertexes and the feeder lines as the arcs of a graph
簡化模型把配電網描述為有權的節點和弧的圖，在此基礎上進行故障的定位、隔離和恢復處理。We deduce frondose algorithm of three layers bp neural networks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo at the same time, this dissertation sums up things that conventional bp algorithm is improved on considering disadvantages of it
3推導了常用的三層bp神經網路具體演算法，討論了實際預測應用中神經網路設計方面的幾個重要問題，如隱層數、隱層神經元數、訓練次數、初始權值、輸入節點數以及輸出節點數的確定。同時，針對傳統bp演算法存在的各種各樣的缺點，文中綜述了對其改進的情況。The authoritative data for a zone is simply all of the rrs attached to all of the nodes from the top node of the zone down to leaf nodes or nodes above cuts around the bottom edge of the zone
給區域的授權數據僅僅是附加到從區域下面到葉節點或者在分割底部區域邊緣上面的節點的頂節點的所有節點的rr 。In the background of integrative economy all over world, forming and developing of global city is increasing, especially emergence new spatial city structure such as city cluster, metropolitan area, metropolis taenia, metropolis stretch and so on, its play a important role of cosmopolitan note city in the system of global city network, and more and more dominate global economical life line, in the meantime exceed national entity on the spatial power
在全球經濟一體化的背景下，世界城市的形成和發展很快，尤其是出現了像城市群、大都市區、大都市帶、都市連綿帶等新的城市空間組織形式，這些新的城市空間組織形式，在全球城市網路體系中扮演著世界性節點城市的角色，它們越來越控制和主宰著全球的經濟命脈，越來越在空間權力上超越國家的實體。The curate might set as many chapters as he pleased for catherine to get by heart, and joseph might thrash heathcliff till his arm ached ; they forgot everything the minute they were together again : at least the minute they had contrived some naughty plan of revenge ; and many a time i ve cried to myself to watch them growing more reckless daily, and i not daring to speak a syllable, for fear of losing the small power i still retained over the unfriended creatures
盡管副牧師隨心所欲地留下多少章節叫凱瑟琳背誦，盡管約瑟夫把希刺克厲夫抽得胳臂痛，可是只要他們又聚在一起，或至少在他們籌劃出什麼報復的頑皮計劃的那一分鐘，他們就把什麼都忘了。有多少次我眼看他們一天比一天胡來，只好自己哭，我又不敢說一個字，唯恐失掉我對于這兩個舉目無親的小傢伙還能保留的一點點權力。The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet
本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。It can dynamically determine the structure information need to index according to real query loads and opti mization of index. second, to consider the effects of structural information on result relevance ranking, this dissertation proposes a ranking algorithm that consider both the frequency distribution and structural distribution of keywords in the result, and a dynamic element - oriented method to compute the weight of keywords
第二，為考慮xml數據中的結構信息對查詢結果相關度值的影響，本文提出了一種綜合考慮關鍵字頻率分佈特徵和結構分佈特徵的查詢結果相關度演算法，以及一種基於節點的關鍵字權重計演算法，取得了更優的檢索性能。It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用Attribute expands access to a site - map node beyond the level of access that url authorization and file authorization grant. the following code example sets the
屬性擴展了對站點地圖節點的訪問，使其超出了url授權和文件授權所準許的訪問級別。Keeping the original structure of cbp unchanged, we add an extra node to cbp input level and assign specific values to the weights between that node and the hidden level, and then we obtain a more general model than cbp, which is icbp
我們在保持cbp原有結構下，通過對cbp的輸入層擴充節點（ 1個）的特殊構造，以及對該節點與隱層間權值的特殊賦值，獲得了較cbp更一般的改進網路模型（ icbp ） 。To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5
詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。It is used to provide reference to operator of power plant. in recurrent composed bp networks, the relation of interior node is enhanced because the link weight of input layer and output layer are added, and the saturation of fault prediction is avoided by using the linear prompting function
本文所建的用於鍋爐故障預測的遞推合成bp網路由於bp網路各層之間及輸入層與輸出層之間的連接權的增加和線性激勵函數的採用，極大地加強了內部節點的關聯能力，避免了bp網路預測的飽和性的出現。This text has analysed load balancing method of existent especially lvs cluster system and recommended the net packet and netfilter ’ s frame structures in the linux operating system ; it has compared the cooperative - type - cluster with tradictional cluster in the net packets ’ queue ways and with active cluster in the load balancing dispatcher way, which has reflected the superiority of cooperation type cluster ; the three major parts of the cooperative - type - cluster have been designed and realized in this text, which includes sync packets ’ priority service for dmcs 、 “ priority and avoid sudden load unbalance ” dispatch way at the cooperation of nodal servers and director and active nodal server which ensure cluster normally running when cluster join or rduce node server ; the cooperative - type - cluster ’ s control frame controlled by homepage has been constructed ; the mulit - services cluster system has been realized ; this text has used the existing server pressure testing tools to test the cooperative - type - cluster and lvs cluster, then has comparaed and analysed the two
本文分析了現有服務器集群特別是lvs集群系統的負載均衡方法，介紹了linux系統下的報文和netfilter的框架結構;將所提出的合作式集群與傳統集群在報文排隊方式上進行比較，與主動式集群在負載均衡調度方式上進行比較，體現了合作式集群的優越性;設計並實現了合作式集群體系結構的三大部分:針對分散式測控系統的加權服務、負載均衡器與節點服務器合作式「加權防突」負載調度、保證集群運行不受加減節點干擾的主動性真實服務器;構建了通過網頁界面控制合作式集群的控制框架;實現了一個可運行的合作式多服務集群系統，運用現有服務器壓力測試工具對合作式集群和lvs集群進行負載測試，並對測試結果進行比較分析，同時通過壓力測試實現加權服務。As to the applications, since the web nodes and pages can be labeled using url, these algorithms are used to analyze the authoritative resources on the web
在應用方面，由於網際網路上的節點可以被唯一標定，唯一標號圖分析演算法就被成功地用於對web權威資源的分析工作中。Devfsd will take care of creating " old - style " compatibility device nodes, performing automated actions when a driver is registered unregistered, take care of backing up changes to device permissions and ownership to a directory on the root filesystem, and more
Devfsd將會負責創建「舊類型」兼容性設備節點；在注冊注銷設備時執行自動化操作；負責備份對根文件系統上某個目錄的設備許可權和所有權的更改，以及其它更多功能。( 4 ) it presents the architecture and basic function of haecs. it fulfills primary modules, which includes management and control interface, not only monitoring the state s of real nodes, but also the state of the service modules. it will delete it from the server table reside at the director when the real server or the service does n ' t work properly
完成了linux系統上的圖形管理控制界面，以及真實服務節點的服務功能監控模塊，監控模塊不僅能夠監控服務器的狀態，還可以監控服務模塊的狀態，一旦服務失效能夠及時地將該服務器從集群節點中刪除，在監控狀態中，模塊可以定時採集服務器的狀態信息，根據各個服務器的狀態，採用負載加權演算法來動態的管理集群，實現集群的智能管理。The community power structure can be summarized as the structure of multi - core power network. community elite is an outstanding node
石村的社區權力結構可以被概括為「多核心的權力網路結構」 ，社區精英只是網路中一個個較為突出的節點。Compared with traditional cluster, the cooperative - type - cluster has carried the sync net packets from all real server ’ s network cards to director and set up a priority queue of sync net packets for dmcs, then it has transmitted them through the cooperation of nodal servers and directoer, it has made that the nodeal server lost efficiency suddenly or automatically joined or broke away from the cluster not influence the whole system ’ s normal running again ; meanwhile, it can avoid reducing handling capacity even appearing phenomenon of “ living locking ” in high load
與傳統集群相比，合作式集群從各真實服務器端網卡報文隊列中分離出請求報文移至負載均衡器端，建立針對分散式測控系統的請求任務報文優先權排隊隊列，通過節點服務器與負載均衡器合作進行報文轉發，使得節點服務器突然失效或自動加入脫離集群不再影響整個系統的正常運行;同時，也能避免在高負載下處理能力降低甚至出現「活鎖」的現象。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。To prevent the unintended trimming of child site - map nodes, configure authorization rules and roles attributes carefully
若要防止對子站點地圖節點的意外調整，要謹慎地配置授權角色及角色屬性。分享友人