經典網路結構 的英文怎麼說

中文拼音 [jīngdiǎnwǎnglùjiēgòu]
經典網路結構 英文
classical network structure
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 典 : Ⅰ名詞1 （標準; 法則） standard; law; canon2 （典範性書籍） standard work of scholarship 3 （典故...
  • 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...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 經典 : 1. （具有權威性的著作） classics 2. （宗教教義著作） scriptures 3. （著作具有權威性的） classical
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  1. In order to change situation and realize higher education evaluation online, with introducing the origin and the phylogeny of higher education evaluation as the starting point in the paper, analyzing the characteristic of higher education evaluation and comparing several typical evaluation methods each other, we put forward a synthetic evaluation method based on a combination of ahp and fuzzy estimation. then we have made a thorough and careful study in education evaluation work pattern and system structure, in which some related technique, such as active server page technology and web database access technology etc. are discussed

    本文首先介紹高教評估的起源及其發展概況，並分析了高教評估的特點，在深入研究幾種經典的評估方法的基礎上，提出模糊評估與層次分析相結合的綜合評估方法；接著對網上評估系統的工作模式及其體系結構進行探討，並應用相關的理論、技術，如數據庫理論、動態網頁技術asp 、和基於asp的web數據庫訪問技術等，開發了一個基於計算機網路的高等教育評估系統。
  2. Based on the experiences of the developed countries and the th theory brought forward by the forthgoers, the main contributing conclusion of the dissertation includes : firstly, it elaborates the inner structure and the pedigree within the th of university - industry - government. secondly, it points out the disfigurements and flaws in chinese university - industry - government relationship and then puts forward the mission and countermeasures to cope with these problems. last by not least, it finishes a quantitative analysis of chinese th model with the scientometric, the webometric and the triple helix algorithm and then according to the arithmetic result, it compares the chinese th with some other typical countries " and finally draws some valuable conclusions

    結合發達國家區域的實踐經驗與前人已有的理論工作，本文深入研究了網路時代的三方合作主題，主要貢獻有：給出大學?產業?政府三重螺旋體的內部結構和圖式譜系；指出國內「產學研」缺陷與紕漏，明晰了「官產學」的應對與使命；最後運用th演算法和科學計量、網路計量手段實現了一個有關中國三重螺旋模型的定量分析，並與其他典型的國家地區三重螺旋作出比較，得到若干有價值的結論。
  3. The quantum gate array is the natural quantum generalization of acyclic combinational logic " circuit " studied in conventional computational complexity theory. in 1995, barenco showed that almost any two - bit gate is universal, so building a feasible two - bit logic gate is the first step to engineer a quantum computer. in principle, the quantum bit can be carried by any two states system

    在眾多的量子計算機模型中目前討論最廣泛的是量子計算機門組網路模型，量子計算機門組網路模型是經典計算機門組網路結構的量子推廣，它是根基於barenco等人所證明的「一個兩比特受控操作和對單比特進行任意操作的門可以構成一個『通用量子邏輯門組』 」之上的。
  4. 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。
  5. In this paper, to resolve the coupling phenomena between temperature and humidity in wood drying system, a bp neural network based pid controller is proposed and applied to wood drying system. the architecture and learning algorithm of the proposed controller is more simpler and the physical meanings of the input layer ' s neurons and output layer ' s neurons are explicit. based on predefined control rules and self - learning, the bp network changs the scaling integral and differential parameters, therefore is able to control the variants using classical pid control algorithms and at the same time, decoupling control is implemented as well during the control procedure

    本文針對木材幹燥過程中溫、濕度耦合的現象，提出一種將新的基於bp神經網路的pid控制器應用於木材幹燥控制系統的方案，其結構和學習演算法相對簡單，輸入層和輸出層神經元物理意義明確；它根據設定的某一控制規律，通過網路的自學習，調整pid控制器的比例、積分和微分參數，從而利用經典的pid控制演算法得到相應各變量的控制量參與控制，並在該過程中實現解耦控制，而不用給定樣本信號進行在線的學習。
  6. Especially their high - fixed and low - marginal cost characteristics may result in the failure of traditional supply curve and neo - classical equilibrium, so the pricing strategies of traditional products are completely no longer fit for

    以及特殊的經濟特徵，尤其是「高固定成本，低邊際成本」的成本結構，造成了傳統供求曲線和新古典均衡分析的失靈，所以針對傳統產品的定價策略已經完全不適應網路經濟時代的發展。
  7. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  8. In this paper, overall design philosophy and measure while diagonose the prefabricated substation using ann theory are defined, including the definition of fuzzy expression method for fault symptoms, the definition of typical fault collection and typical fault sign collection, the definition of the format of the learning sample and test sample, and the definition of fault diagnosis model formed in coordination by multi ann whose diagnosis principle are also described. a practical software using visual c + + 6. 0 and access2000 as developing instrument are developed on the basis of diagnosis principle put forward by this paper

    本文確定了應用神經網路理論對箱式變電站進行故障診斷的總體設計思想和步驟：確定了監測數據的預處理模糊化方法；建立了箱式變電站典型故障集和典型故障徵兆集；確定了學習樣本的格式，完成了學習樣本的生成；確定了神經網路結構和參數，並對學習樣本應用本文的學習演算法進行了學習訓練，使誤差控制在給定范圍內；以集散監測診斷系統的思想，提出了由多個神經網路協同構成的多神經網路故障診斷模型，並論述了其診斷原理。
  9. So we make a summary of above - mentioned classical models and abstract the common theory ? the framework of " stimulation and reaction " on which we can design e - consumer buying behavior model. in order to explain this model clearly, the paper is divided into six parts

    為此，我們從上述幾種經典模式中總結出了共同具有的核心的東西，也即消費者購買行為模式的一般原理，或者稱之為「刺激反應」的基本框架，並在此框架的基礎之上加以修改和補充，構建網路消費者購買行為模式。
  10. For the high controlled condition for larger nonlinear system, the identification which the classed method is difficult is important. the paper purposed a new associative memory neural network which can replaced system and ready for the request of control. this paper on the basis of fuzzy neural network technique and optimization it ' s parameter can get ideal output

    對于大滯后非線性系統控製品質要就比較高的場合，模型辨識是至關重要的，針對大滯后非線性系統難以用經典方法辨識的原因，模擬人腦記憶事物的過程，本文提出了一種新型聯想記憶神經網路結構，作為建模工具，以再現被控對象的特徵，為控製做好鋪墊。
  11. Based on the theory of network organizational structure proposed by swedish scholars hakansson and snehota, using the analytical method of economics and management, this thesis tries to discuss the three key factors that influence the enterprise clusters " competitiveness from the perspectives of network relationships in enterprise cluster clusters " organizational learning and clusters " life circle, then demonstrate the mechanism among the three key factors. finally, we put forward policy to help cultivate and strength clusters " competitiveness. the preface explains the research purpose, practical significance and theory value as well as the research methods

    本文基於瑞典學者哈堪森（ hakansson ）和斯涅何塔（ snehota ）提出的網路組織結構理論，綜合運用經濟學和管理學分析方法，從群內企業間網路關系（主體與主體的關系） 、集群的組織學習（主體對資源的活動） 、集群的生命周期（主體活動的時間效應）三個層面研究影響企業集群競爭力的動態演化要素，揭示三個影響要素與集群競爭力的關聯機理以及要素之間的相互作用機制，並提出相應的制度安排與政策建議，以期對集群競爭力的培育和提升提供理論參考。
  12. This network ’ s structure is similar to the rbf neural network rather than the conventional ellipsoidal unit neural network. in the new network, the ellipsoidal unit functions are used in the hidden layer, and the weights between the hidden nods and the output nods are all connected. a method of rough k - means is used for obtaining the centers of ellipsoidal basic functions and the way of deciding the threshold

    本文改進了一種橢球單元神經網路，它與經典橢球網路的結構不同，而與rbf神經網路結構類似:它的隱層節點採用橢球單元函數，代替了rbf網路的高斯基函數，並且用粗糙k -均值方法求取橢球基函數的中心，給出了確定初始閾值的方法。
  13. The cooperation in network centered warfare is more complex than before, including the complexities of group structures, the dynamics of battlefield situation, the continuous realtime adjustment of combatant strategy, and the strong cooperation in horizontal and vertical directions. those conventional cooperation models cannot describe the cooperative behavior in modern c4isr system

    「網路中心戰」在協作行為方面對新一代作戰指揮控制系統提出了更高的應用需求，包括協作群體結構的復雜性、戰場態勢的動態性、協同作戰決策的連續實時調整、系統內縱橫交錯的強協同協作等，使目前經典的協作模型難以描述其協作行為。
  14. Combining ann with dissolved gas analysis ( dga ) that is a typical method in transformer diagnosis, transformer fault diagnosis system with friendly interface and excellent capability is finished by java. besides, the method of selecting networks parameter is discussed detailedly, and the influence of different parameters on diagnosis results is analyzed

    將變壓器診斷中典型的油中氣體分析法和神經網路方法相結合，採用java語言開發出界面友好、性能優秀的變壓器故障診斷系統；此外，文中還詳細探討了網路各結構參數的選擇方法，並且就變壓器這一實際診斷系統，分析了不同結構參數對系統誤差的影響。
  15. Therefore, the original optimization model is transformed into the problem of cross sectional area optimization. this paper had great research on the development of optimization algorithm by analyzing typical optimal search method, such as greedy algorithm, simulated annealing algorithm, neural network and genetic algorithm ( ga ). according to the characteristics of truss structure, we choose genetic algorithm as the solution way

    本文在研究優化演算法發展過程的基礎上，分析了典型的優化搜索方法：確定性演算法如貪婪演算法，隨機搜索演算法如模擬退火演算法，人工智慧演算法如神經網路及遺傳演算法，根據桁架結構優化的特點，最終選擇以遺傳演算法作為桁架結構優化設計的主要演算法。
  16. The main efforts in this paper are paid out for seeking several appropriate dsps by ultilizing modal analysis ( ma ) and finite element analysis ( fea ) for aeronautic typical structure ( such as plate x sheik box ), dsps are computed by patran, and efforts are paid out for simulating the bp networks by ultilizing matlab to process of structural health monitoring ( shm )

    本文的主要工作在於利用模態分析理論及有限元分析方法來尋找一些典型航空板殼結構和盒段結構的合適的損傷標識量，用paran計算各種設定損傷下的標識量，並用matlab軟體虛擬bp神經網路來完成健康監控的過程。
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