網路拓撲學 的英文怎麼說
中文拼音 [wǎnglùtàpūxué]
網路拓撲學
英文
topology of the network- 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...
- 拓 : 拓動詞(把碑刻、銅器等的形狀和上面的文字、圖形印下來; 拓印) make rubbings from inscriptions pict...
- 學 : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
- 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
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In order to prove the arbitrary cardinal number alexandroff - urysohn addition theorem put forward in 1923, the famous former soviet union topologist a. arhangel ' skii introduced network which is the important extension of base in 1959
1959年前蘇聯著名拓撲學家a arhangel ' skii為了證明1923年提出的任意基數的alexandroff - urysohn加法定理,引進了基概念的重要推廣? ?網路( network ) 。With the development of computer networks and computing science, paralleling computer and interconnection networks, covering mathematics 、 computing science 、 information science and so on, are becoming one of the hotspots of computer science research. all kinds of interconnection networks with different topologies, such as ring, mesh, hypercube, star topology network etc., have been received rapidly development
隨著計算機網路技術與計算科學的發展,并行計算機及其互連網路作為一個跨數學、計算科學與信息科學等多門學科的領域,逐漸成為計算機科學研究的熱點之一,各種拓撲結構的互連網路,如環、 mesh 、超立方體、星型網路等得到迅速發展。So as to one collective operation, we will stratify the network and produce a multilevel topology tree by ra exploiting knowledge concerning the structure of a multilevel network. then we take advantage of the differences on communication cost at every level in the network multilevel topology tree to minimize communication across slower channels ( e. g., a wide - area network )
因此對于某個集合通信,可以根據通信網路的拓撲信息,將該通信網路分成若干層,然後創建一個多層的網路廣西大學碩士論文網格環境下對己知托撲型集合通信的研究掏要拓撲結構樹,充分利用了樹中不同層的通信開稍的不同,總是使通過最慢連接(例如廣域網)的通信最小,這樣,該集合通信總的完成時間就最少,從而使集合通信的完成時間在網格環境下達到最憂。This paper will study under layered real - time scheduling problem, which is based on the theory of mas ( multi - agent system ). first, we research the structure model of mars, then an uniform model based on han ( hierarchical agent networks ) is proposed, which can unify all sorts of model ; second, the communication model of mars has been studied, then we propose high level communication model and under layered network topology model, and they are the same with mars ; three, ground on above, a real - time cimunication protocol for mars - - - - - rtcmr has been presented. in this paper, we study the under layered real - time scheduling protocol of rtcmr, which include real - time process scheduling and real - time message scheduling
本文首先研究了多智能體機器人系統結構模型,提出了多層次智能體網路一體化模型,該模型對各種結構模型分類進行了統一;然後對多智能體機器人系統的通信模型進行了研究,提出了適用於mars的高層通信模型和底層網路拓撲;在此基礎上,提出了基於多智能體機器人系統的實時通訊協議? ? rtcmr ,本文對rtcmr的底層調度協議進行了研究,包括實時任務調度和實時報文調度,提出了sp ts協議系統,建立了sp ts演算法的數學理論模型, sp ts協議系統在實現了實時任務的絕對時限保證的同時也實現了底層實時報文傳輸的絕對時限保證,實現了實時任務調度和實時報文調度的統一,最後,提出了基於sp ts協議的spp tsp統一控制結構,並給出了該結構的統一調度petri網模型。On the basis of investigation and synthesis of the relative theory and key technology on the topological structure of locomotion, control system architecture, maneuverability, trafficability, the integration of exact mechanical engineering, net - based communication and sensor technology, an innovative robot with reconfiguration and biomimetic characteristics has been developed for 863 program of china ? study on autonomous navigation system for intelligence mobile robot in unknown environment
本文針對「未知環境中自主工作智能移動機器人導航系統研究」的國家863項目,在綜述國內外關于移動機器人走行部拓撲結構、控制體系、機動性和通過性等移動機器人的相關理論和關鍵技術的基礎上,綜合利用精密機械、網路通信、傳感技術等學科的技術,研製開發出一種多機動模式可重構移動機器人。The main results are as follows : 1. dynamical behavior in coupled map lattices with regular topology are investigated by using lyapunov componet. 2. dynamical behavior in coupled map lattice with scale - free topology are investigated in detail. our strategy is to apply three feedback control methods, including constant feedback and two types of time - delayed feedback, to a small fraction of network nodes to reach desired synchronous state
本論文正是對具有無標度拓撲結構的耦合映象格子的動力學行為進行了研究,主要內容和創新點如下: 1 .利用lyapunov指數對具有規則網路結構的耦合映象格子系統的動力學行為進行研究; 2 .對具有無標度網路結構的耦合映象格子系統的動力學行為進行了詳細研究;為了使系統達到同步,我們的策略是應用三種反饋方法(常數反饋和兩種時延反饋)對系統的部分節點進行控制以達到我們期望的狀態。Ann has strong parallel running, fault - tolerant and self - learning " capacity. ann can finish the gain of knowledge by the model sampling and. memory the knowledge into the weights of topological structure
神經網路具有很強的并行性、容錯性和自學習能力,通過對典型樣本的學習,完成知識的獲取,並將知識分佈存儲在神經網路的拓撲結構連接權值中,用來對未知樣本進行識別。The second chapter research the compatibility of multi - protocol communication networks on address resolving and routing based on ngn. using trip, this paper design and implement the inter - working projects between h. 323 network and sip network
323與sip兩類網路互通的情況下地址解析和選路的方案,兩個網路的拓撲結構通過傳送trip路由信息的方式相互發布和學習。In this paper, topologic entropy will be employed to study the dynamical behavior of one - dimensional cnn, especially, the iteration map of stationary solution of cnn
在本文我們將用拓撲熵來研究細胞非線性網路的動力學性質,特別是由cnn的定態解誘導出的迭代映射的動力學性質。With the help of successful experiences the space with - hereditarily closure - preserving cs * pair - networks and the space with - hereditarily closure - preserving psedobases have gained, this thesis makes a research of the space with - hereditarily closure - preserving pair - networks at the aspects of the yan pengfei ' s question of space with - hereditarily closure - preserving pair - networks and discusses the equivalent depiction of this space and the connection between this space and related generalized metric space and the topological properties of this space. at the same time, it make further consideration of the similar structure of space with - weakly hereditarily closure - preserving pair - networks
本文圍繞燕鵬飛關于遺傳閉包保持雙網路空間的問題,藉助具有遺傳閉包保持cs ~ *雙網路空間和具有遺傳閉包保持偽基空間已取得的成功經驗,對具有遺傳閉包保持雙網路的空間進行研究,探索該空間的等價刻畫及與相關廣義度量空間的聯系,並由此討論這類空間的可加性、遺華南師范人學碩十學位論文傳性、可積性及映射性質等拓撲運算性質The latter primarily improves the transmission distance and reliability by selecting the repeater automatically. the frequency domain auto - adaptatation filter algorithm is deduced and reliabity by selecting the repeater automatically. the frequency domain auto - adaptaion filter algorithm is deduced and a method of frequency domain algorithm to restrain the marrow band interference is given on the foundation of the time domain minimum mean square error auto - adaptation filter. then the meter reading system to can learn the power network structure and automatically create linked path by using neural networks auto - study ability and analyzing the reading data
後者主要是對中繼節點的自動選擇,以提高信息的傳輸距離與可靠性。針對電力線擴頻通信通道的特點,在時域最小均方誤差自適應濾波演算法的基礎上,推導了頻域自適應濾波演算法,並提出了頻域演算法抑制窄帶干擾的具體方法。運用神經網路的自學習方法,通過對抄讀數據進行分析,使抄表系統感知電網拓撲結構,自動建立中繼路徑。The paper introduce the important role of the adss, the topology of the network, the components, function and characteristics of the system software
介紹了學籍管理輔助決策系統的重要作用、網路拓撲、系統軟體組成、功能和特點。In the chapter 4, the particular network topology and the four training algorithms are designed for the switching state selector in dtc by the neural network control technology, and the learning speed, stability, and weight convergence of the algorithms are discussed and compared
第四章對直接轉矩控制中的開關狀態選擇器用神經網路控制技,術設計了具體網路拓撲結構和四種演算法,並對幾種翼法的學習速度、穩定性、權收斂性進行了比較和研究。So, it could be seen that the structures research, function approximation properties and learning algorithms of procedure neural network models is quite significant
研究過程神經元網路模型的拓撲結構,函數逼近性質,學習演算法等具有十分普遍的意義。Using net technology, web - page development technology and dynamic mutual technology, combined with the practice of software engineering teaching, we design and implement assisted instruction system based on campus network, mainly discuss the train of thought, design of content, design of learning resource, design of systemic function and design of topology construction, systemic development tools, implementation technology of primary module etc
摘要運用網路技術、網頁製作技術及動態交互技術,結合「軟體工程」課程的教學實踐,設計並實現了基於校園網的輔助教學系統,著重討論了該系統的設計思路、內容設計、學習資源設計、系統功能設計和系統拓撲結構、系統開發工具、主要模塊(頁面)的實現技術等。The main content of studying in this paper includes : according to the operation principle of gis, developed dss of city traffic planning of practicability. structure the topological structure chart of city traffic network, deal with the traffic network, can solve shortest path and strongly connected problem, and can plan result express by way of figure, can reduce work load and time greatly, and can make traffic planning visual in more image
本文根據gis的工作原理,開以出了實用性的城市交通規則計算機輔助決策支持系統: masterpath構建城市交通網拓撲圖,處理交通網路,可解決最短路和強連通定向問題,規劃結果可視表達,為交通規劃工作者提供直觀、清晰、全面的信息表達方式,有利於提高城市交通規劃決策的科學性和合理性。To characterize scale - free network topology more intuitively and profoundly, lorenz curve and gini coefficient which describe income inequality in economics are generalized into complex networks where people in economics are corresponding to nodes in networks and income is corresponding to node degree
摘要為更深刻直觀地定量刻劃無標度網路的拓撲性質,將經濟學中描述收入分配不均等程度的兩個重要概念:洛倫茨曲線和基尼系數推廣至一般的復雜網路。Abstract : explained the dann ( dynamic artificial neural network ) in terms of b uilding model and predicting of time series, presented for the first tim e a new kind of dann anhn ( artificial neural holonetwork ) for predict ing the coming trend of nonliner dynamic time series, gave its mathem atical model and its topological construction
文摘:從時間序列建模與預報的角度討論了動態神經網路,首次提出了一種新的實現非線性動態時間序列預報的動態網路結構全息神經網路,給出了其數學模型和拓撲結構,並將其應用到了機械設備振動烈度值的預測上,取得了令人滿意的效果。For a long time, user must complete this step with a series of complex methods by hand, and this problem became the choke point in application and development of overlap grid technology. in the moving - grid problem with fluctuant shape, the pre - disposal process of overlap grid is a main difficulty
對于重疊網格對復雜外形適應能力問題,本文借用拓撲學中關于幾何外形拓撲關系的新思路,即射線判別法,發展出」重疊網格交點判別法」並編寫相應軟體,實現了與幾何外形無關、無須人工干預的通用、自動化重疊網格預處理。The approximation property of projection pursuit wavelet neural network ( ppwnn ) which is applied to non - linear function is studied, the convergence rate is given in this paper also. 3. we demonstrate projection pursuit wavelet neural network ( wppnn ) has a good applicability by the approximation of five non - linear functions and the prediction of sunport and chaos time series and the use of edge detection
主要工作如下: ( 1 )建立了投影尋蹤小波神經網路的數學模型、拓撲結構及非線性學習機理; ( 2 )證明了投影尋蹤小波神經網路可以逼近非線性函數,並給出了其收斂速度; ( 3 )通過投影尋蹤小波神經絡對五種非線性函數的逼近和對太陽黑子、混沌時間序列的模擬預報以及投影尋蹤小波學習網路在圖象邊緣檢測中的應用,說明該網路具有很強的實用性。分享友人