網路類比 的英文怎麼說

中文拼音 [wǎnglùlèibǐ]
網路類比 英文
network administration
  • 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...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 比 : Ⅰ動詞1 （比較; 較量高下、 長短、距離、好壞等） compare; compete; contrast; match; emulate 2 （比...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 類比 : [邏輯學] analogy
  1. Hydraulic control system of double - cylinder vessel gate is a sort of typical electrohydraulic proportional control system0 in order to study electrohydraulic flux control characteristics of this system, i have analyzed the principle of this hydraulic control system, and made its mathematics model ? in double - cylinder hydraulic system, it is necessary to process electric synchronous control in this hydraulic system, this paper also introduces a sort of fnn ameliorated from the point of view of intelligent control theory, and clarifies the principle of applying that network to achieve synchronous controlo at the same time, the means of fuzzy configuration analysis is used for network training, the comparative experiments make known that the method of applying fnn to realize synchronization control is feasible, furthermore, its effect is better than others0 this paper puts forward that a distributed control system can be used to monitor and control vessel gate within a real - time or remote distance, the basic project, structure, applications and functions of computerized scada system in hydraulic system of vessel gate is introduced ? a double layer network structure, epigynous and hypogynous machine network, is applied to this system, in accord with the application of technique such as plc, integrated software etc, this paper introduces the methods and application to achieve the computerized scada system in the task, and analyzes the characteristic of this system, in this paper, the application of configuration in monitor and control system of vessel gate is discussedo in addition, in accord with the application of technique such as visual basicb

    雙缸船閘液壓啟閉控制系統要求解決同步控制問題，文中從智能控制理論角度出發，採用了一種改進的模糊神經網路，結合模糊聚類分析方法，闡述了應用該網路實現同步控制的原理。通過對比模擬實驗表明：應用模糊補經網路實現同步控制是可行的，而且它的同步控制效果要優于傳統的設置主從令缸控制方法，具有良好的魯棒性能。另外，本文提出了建立船閘控制系統的分散式控制系統，介紹了船閘液壓控制系統的計算機監控系統（ scada ）的方案、結構、應用和主要功能，採用雙層網路化結構：上位機網路和下位機網路，並結合plc通信網路技術和組態軟體等技術構成的計算機監控系統的實現方法，實際應用，分析了這種較新的系統模式在船閘液壓控制系統的計算機監控系統的功能實現中所具有的特點。
  2. Though the method has generalization capability, it doesn ’ t satisfy the application. when the examples include yawp, wrong recognition occurs. generalization of the traditional is not ideality and instability

    神經網路模式分類方法雖然具有比其他分類方法更好的泛化能力，但在實際應用中，仍然不能滿足人們的期望。
  3. ( 2 ) taking the geology analysis as main way and combining the pre - test, predicating the tunnel ' s main geology condition ( rock quality, surrounding rock classification, long - wide joint, fault, ground water, crustal stress ), and predicating the main potential disaster ( collapse, breaking water, rockburst, large deformation ) ( 3 ) employing the stress test result and inverse analysis of the stress field, finding out the crustal stress " s distributing rule along the tunnel axes section : the highest crustal stress is 24mpa near the deepest spot, and predicting that the k2 + 260 ~ k3 + 000 likely to be the high crustal stress segment for this tunnel

    通過地質分析、類比分析、監控量測、數值模擬、神經網路等方法，對鷓鴣山隧道潛在的主要地質災害（塌方、涌水、巖爆和大變形）進行了預測預報（ 3 ）在現場地應力測試成果的基礎上，運用數值計算進行應力場反演，基本查明了沿隧道軸線剖面的地應力分佈規律：地應力量級在最大埋深附近達到最大值24mpa ，並預測k2 + 260 k3 + 000段將很可能成為鷓鴣山隧道的高地應力段。 （ 4 ）塌方往往與斷層破碎帶及千枚巖相聯系。
  4. The basic thought of the csapfba algorithm is : the edge routers perform the state management per flow, and the edge routers differentiate between the marked flows and the non - marked flows, and the edge routers insert the relevant information into the packet header by using dynamic packet state ; the core routers divide the output link bandwidth into two parts in the light of the state information of the packet header by using class - based queueing, and the core routers allocate proportionally the bandwidth to the marked flows according to their service profiles and the current network load, and the core routers allocate the bandwidth to the non - marked flows according to the principle of max - min fairness, and the csapfba algorithm can adaptively dynamically adjust the bandwidth allocation between the marked flows and the non - marked flows

    本文在csfq演算法的基礎上，提出了一種核心無狀態的自適應的成比例公平帶寬分配csapfba （ core - statelessadaptiveproportionalfairbandwidthallocation ）演算法。 csapfba演算法的基本思想是：在邊界路由器完成基於每個流的狀態處理，將所有的流分成標記流和非標記流兩種類型，採用dps技術將有關信息編碼進分組頭；在核心路由器根據分組頭中攜帶的狀態信息採用cbq策略，將輸出鏈路帶寬分成兩部分，對標記流根據當前的網路負荷按照服務規格成比例地分配帶寬，對非標記流按照最大最小公平性原則分配帶寬，並且能自適應地動態調整帶寬分配的比例。
  5. 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。
  6. The paper tries bp and rbf two kinds of commonly used neural networks compensation model mainly, has compared with many kinds of networks and learning algorithms through the instance

    本文主要嘗試了bp和rbf兩類常用的神經網路補償模型，通過實例比較了多種網路學習演算法。
  7. Parallel and distributed processing and applications, nanjing, china, 2005, pp. 503 - 513. 17 kemper d, kleinberg j, demers a. spatial gossip and resource location protocols. in proc

    類似於symphony模型的設計原理，本文的理論成果可應用於大規模分散式網路的結構設計，比如peer - to - peer網路邏輯層的結構設計。
  8. This paper gives a comprehensive comparative study of library reference service between china and foreign libraries under the networking environment. through cases of some libraries, the paper thinks that digital reference service in china is at a simple phase and disparate development, and should improve

    文章對網路壞境下中外圖書館參考咨詢工作進行了比較研究，通過國內外圖書館的一些實例分析，提出我國圖書館數字參考咨詢服務手段與方式尚處于初級階段、各地區及各類圖書館參考咨詢服務發展很不平衡、人員素質亦有待提高的觀點。
  9. The evaluation criterion of the performance and the taxonomy for wireless sensor networks self - localization system and algorithms are described, the principles and characteristics of recent representative localization approaches are discussed and presented in detail. 3. based on the euclidean algorithm

    2 、綜述了無線傳感器網路自身定位演算法和系統的性能評價指標、分類方法，在研究和比較現有的典型演算法和系統的基礎上，對現有的無限傳感器網路定位系統和演算法進行分析和總結。
  10. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  11. First, realized a wegener - willie distribute based network traffic anomaly detection algorithm. we make use of wegener - willie distribute to analyze the inherent time - frequency distribution characteristics of the traffic flow signal. then according to the experience of analysis on historical flow, we construct a normal flow training sample aggregation and a abnormal flow training sample aggregation

    通過魏格納-威利分佈分析網路流量信號在時頻分佈上所反映出的內在特點，根據歷史流量的經驗構造正常流量和異常流量兩個訓練樣本空間，通過k最近鄰分類演算法將帶檢測流量信號的時頻分佈與訓練樣本進行比較，完成對檢測樣本的自動分類識別。
  12. Goals of highway network planning, in terms of the total length of the highway network as well as the share of expressway and over class ii highways in the network, were analyzed in chapter two by using of network connection index and analogy methodology. the developing goals of shaanxi arterial highway network were proposed. in the third chapter, the overall arrangements for highway network were studied through the importance index of nodes and links

    通過與世界經濟發達國家的公路網密度和運輸結構、以及我國其它地區，特別是與陜西省相鄰省（區）的公路網發展水平相對比，根據我國經濟發展「三步走」的奮斗目標，採用連通度指標測算和類比的方法，按網連通度、公路網密度、人均公路網總里程和單位汽車保有量的公路網總里程指標分別進行測算，確定了陜西省的公路網發展目標?公路總里程、高速公路里程和二級以上公路佔有率的適當范圍。
  13. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  14. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  15. 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。
  16. Government information management has prominent problems, such as : channel simplicity, poor dynamic ; low credible, duplicate collection, insufficient processing, inferior sharing, especially short of efficient procedure and methods on information analyses and selection in depth, causes that the offered auxiliary decision information to the leaders and government are pointless and inaccurate

    在未來吉林省政府辦公廳決策支持系統中，網路環境建設以及各類應用軟體的開發都是以電子信息資源庫建設為基礎，沒有比較完善的電子信息資源庫，整個系統猶如「無源之水，無本之木」 。電子信息資源庫是決策支持系統應用體系的核心和基礎。
  17. In famous constructions and key projects such as capital international airport, sanxia three gorges hydropower project, nanjing metro subway, qingdao good - world sea palace, jinan railroad sub - bureau, suzhou amusement park, beijing 1st heating power plant, china 2nd autombile plant, xian peace villa, our products continue to operate safely

    其技術性能指標達到目前國內同類產品的領先水平，其空載損耗比s11型配電變壓器的空載損耗降低60以上。同時，由於本產品採用全密封結構，絕緣油和絕緣介質不與空氣接觸，因而可在潮濕的環境中運行，是城市和農村配電網路中理想的配電設備。
  18. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
  19. We choose unix c as the design tool of bank. first we analyze the development of the trade of stock online, then discuss the environment of system including telephony bank, satellite communication, the hardware of transferring system. and then elaborate on the software design. we shall resolve these problem, that is, how to use mfc to fulfill communication, how to deal with intercurrent need, how to encrypt, how to design interface statement, etc. to make the system easy to extend and integrate, some components based on com ( component object model ) are designed. the security of system is also in discuss

    第一章闡述了發展網上證券業務的優勢和加強網上證券業務的安全的必要性；第二章分析了銀證轉帳系統的支持環境、系統結構模型、網路類型和協議，並在此基礎上設計了證券交易所銀證轉帳的系統結構；論文第三章從安全、可靠、使用方便的角度上比較了windows網路通訊的軟體設計的兩種基本方法；第四章通過系統安全性分析，給出了提高系統安全性能的解決方案。
  20. The radar target identification based on artificial neural network is the protagonist of the chapter 4. bp network and wavelet network are used to classified the emulational radar targets. with the powerful capability of non - linnear identification of bp neural network, its ’ born limitations such as local extremum, slow convergence etc. can be reformed by the wavelet network, which is a network with a wavelet function embedded into the node of a bp network

    研究了基於人工神經網路模型的雷達目標hrrp識別方法。 bp人工神經網路強大的非線性處理能力，在解決復雜目標分類識別時有優勢;小波神經網路針對bp網路的不足，將bp網路和小波變換相結合，在網路收斂、網路初始化方面彌補了bp網路的部分缺陷，其識別性能和抗噪性能與bp網路相比有所提高。
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