高速局部網 的英文怎麼說

中文拼音 [gāosùjúbùwǎng]
高速局部網 英文
hsln high speed local network
  • 高 : Ⅰ形容詞1 （從下向上距離大; 離地面遠） tall; high 2 （在一般標準或平均程度之上; 等級在上的） above...
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 局 : Ⅰ名詞1 （棋盤） chessboard2 （下棋或其他比賽一次叫一局） game; set; innings 3 （形勢; 情況; 處境...
  • 部 : Ⅰ名詞1 （部分; 部位） part; section; division; region 2 （部門; 機關或組織單位的名稱） unit; mini...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 高速 : （高速度） high speed; high velocity （hv）; high rate; swift; fast; express; high-speed
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  3. A normal transform is introduced, and there are enough much grids in the region between the critical layer and the wall, where the variation of the disturbance is the quickest. the finite - difference of governing equations with fourth - order accuracy in the normal direction is utilized in full regions including points close the wall, and is very important for accurately discreting equations. the combination of global and local methods is implemented, and a new iterative formula is derived

    對于曲線坐標系下的拋物化穩定性方程，文中發展了求解的高效數值方法:引進法向變換，使得在臨界層與壁面之間的擾動量變化最快的區域有更多的法向網格點;導出包含邊界鄰域在內的完全四階精度的法向有限差分格式，這對方程精確離散至關重要;採用全局法和局部法相結合的方法及其新的迭代公式，大大加速收斂並得到更精確的特徵值。
  4. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  5. From its realization, the local short - delay interconnection method, the coding symbol synchronization method of multidimensional tcm, and the reliable receiving structure of high - speed dada are advanced

    同時根據工程實踐總結了vd基於網格圖的短時延局部連線設計方法、接收端的多維tcm編碼符號同步方法，設計了高速數據的可靠接收結構。
  6. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  7. In a word, this thesis not only expounds the whole structure of stability control of power system based on the theory of control decisions, but also designs software and hardware of sub - control - station, which are different from others. there are several advantages as listed below : 1 ) distributed hardware architecture function modularization realization of communication between modules by high - speed network communication technology ( can ) ( interconnecting 256 modules or mainframes ) flexible, convenient, reliable expansibility of hardware and decreasing system risk. any broken cell only affects local cell

    總之，論文不僅在控制策略理論的基礎上，闡釋了穩定控制系統的整體架構，而且研製設計出新穎的區域穩控子站裝置軟硬體，其優點體現在： 1 ）分散式硬體結構體系功能模塊化採用高速網路通信技術（ can ）實現模塊間信息交換（最多支持256個模塊及機箱之間的互聯）硬體擴展靈活方便、可靠，降低系統風險，任一單元損壞隻影響局部2 ）實時信息網（控制網）和管理網（監測網）分開。
  8. According to the army operational readiness training management stipulation and the present standard, the unified subject design, the unification ascend the statistical system, the unification analysis examination and approval principle, the strict all levels of jurisdiction, facilitates each kind of information gathering, at the same time adapts the different user object information need ; depends on the army local area network, the armed forces net, realizes, between horizontally the vertical units to operation and so on data long - distance input, inquiry, report form, printing, achieves internal information true sharing ; the strict internal supervising and managing system, strengthens the information management, promptly realizes internal data automatically to report, the higher authority department can to report the information to carry on compiles, the merge and the analysis, promptly grasps each kind of resources for the correlation leader the memory, the assignment, the

    根據部隊戰備訓練管理規定和現行標準，統一科目設計、統一登統計制度、統一分析審批原則、嚴格各級權限，方便各種信息採集，同時適應不同用戶對象的信息需求;依託部隊局域網、軍網，實現橫、縱向單位間對數據的遠程錄入、查詢、報表、列印等操作，達到內部信息的真正共享;嚴格內部監管制度，強化信息管理，實現內部數據的及時自動上報，上級部門能對上報信息進行匯總、合併與分析，為相關領導及時掌握各種資源的存儲、分配、使用狀況提供依據，全面提高部隊作戰、戰備、訓練和保障的應變能力;加強對新舊數據、橫縱向數據的管理，全面分析和挖掘數據間的聯系，充分利用數據的潛在價值，為資源管理者提供快速有效的決策支持。
  9. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  10. With the development of the fiber communication, very high speed fiber optic backbone has being closed to the customer, but few customers has connected to fiber backbone directly. on the other hand, many customers are running some high speed network within their lan, such as fast ethernet ( 100mbps ), or gigabit ethernet ( 1. 0gbps )

    隨著光纖通信技術的發展， 2 . 5g - 10gbps的光纖干線正在不斷的向用戶延伸，但由於成本和光纖敷設工程上的難道，只有很少的用戶直接和光纖干線相連，通常光纖只延伸到了路邊、小區；另一方面，許多用戶內部的局域網也具有很高的傳輸速率，一般為100mbps甚至1gbps的以太網。
  11. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  12. Among current mobile communication systems, only the wlan supports the mobility and high speed so it must be an important part of the mobile communication system in the future

    在目前的幾種移動數據傳輸方式中，只有無線局域網同時具有高數據速率和可移動性，它必然會成為未來個人通信網的重要組成部分。
  13. To quicken convergence and improve model precision, a new algorithm is presented in this paper, which utilize construct orderliness property of self - organization feature maps ( sofm ), divide system input space and adopt 1 order or 2 order local model in each subspace individually instead of a global model

    為了提高收斂速度和模型精度，本文利用自組織映射網路拓撲有序特性，對系統輸入空間進行分割，在子空間中採用多個局部一階線性模型或二階模型代替全局模型的局部化方法。
  14. The algorithms is carried into training connection weights of nn and simulation experiments show the arithmetic can escape local optima and improve learning speed of nn to some extent

    將其用於調整神經網路的連接權值，實驗證明該方法可克服神經網路訓練的局部最優解問題，並在一定程度上提高神經網路的學習速度。
  15. The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks. and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler

    本文所建的用於鍋爐故障診斷的模糊模塊化神經網路模型因進行了樣本聚類，實驗結果表明：其網路訓練的速度和精度明顯提高，同時有效地解決了bp網路應用於復雜的鍋爐系統故障診斷時，存在訓練收斂慢並容易陷入局部最小點的問題。
  16. The price value of the wlan may surpass the public mobile network and thus constitutes the most essential part of the global network

    無線高速局域網的市場價值有可能超過移動公眾網並成為整個全球網的最重要的組成部分之一。
  17. As the expanding of the internet, the design and deploy of large scale routing networks requires a deep understanding of all the effects which may arise when some local incidents come into being

    Internet規模的迅速擴大提高了路由環境的復雜性，設計部署大型路由網路需要對網路設計架構有深刻的認識，能夠預計到局部網路參數的改變對整體環境的影響。
  18. Wpan standard for telecommunications and information exchange between systems - lan man specific requirements - part 15. 3 : wireless medium access control and physical layer specifications for high rate wireless personal area networks

    系統間遠程通信和信息交換標準.局域網和城域網特殊要求.第15 . 3部分:高速無線個人網路
  19. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  20. So the primitive servers as well as the terminal computers in the hospital are isolated from the private network too, thus they have to connect the interface server in order to visit the private network of information sharing platform

    另外，基於安全與行政管理等原因，各家醫院局域網與信息共享平臺高速寬帶網必需隔離，因此醫院原始數據服務器及其它終端設備處于與信息共享平臺高速寬帶網物理隔離的內部局域網中，通過介面服務器系統接入信息共享平臺。
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