經典網路理論 的英文怎麼說

中文拼音 [jīngdiǎnwǎnglùlǐlún]
經典網路理論 英文
classical network theory
  • 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...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 論 : 論名詞（記錄孔子及其門徒的言行的「論語」） the analects of confucius
  • 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
  • 理論 : theory
  1. Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods, which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images. in the second part the principle of classification and bp neural network were introduced. combined with textural features, the improved bp neural network successfully performed on the classification of the satellite images

    論文的第一部分介紹了進行紋理特徵研究的一些典型的方法，利用其中的基於統計的紋理分析法中的灰度共生矩陣以及灰度一梯度共生矩陣法，分析了衛星雲圖上五類區域的紋理特性；第二部分主要介紹了遙感圖像分類原理以及神經網路中的bp演算法，在對演算法原理進行深入理解的基礎上，把紋理特徵與神經網路進行組合，實現對衛星雲圖進行分類分析；第三部分內容是在前面圖像分類結果的基礎上，對序列圖像用相關匹配法進行運動分析，反演雲跡風風場。
  2. 2 ) linking the classical control theory with practice, it tries drawing a sententious and practical conclusion by optimization. correctness is proved by emulation with robust toolbox of matlab. 3 ) in view of the complicacy of the circuits, it optimizes reactive compensation by equivalent area theorem and programs by c. it has been used in practice and gets good benefit

    2 ）結合多年工作經驗和一些經典控制理論對幾種典型負荷網路的補償容量、補償位置進行優化，尋求比較實用、可行的結論，並對其進行基於matlab的模擬，證明其正確性、可行性，使其具有更廣的應用性。
  3. 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。
  4. Theoretically, on the basis of the analyses of the errors of typical units in measurement systems, the concept of the separating and tracing of the output errors is advanced. its methods are discussed and compared. the analysis method of generalized wavelet - neural network ( wnn ) is applied

    在理論上，首先在進行測量系統典型單元誤差分析的基礎上，論述了誤差分解與溯源的理論思想，並探討了進行動態誤差分解與溯源的方法，經過比較，確定了應用廣義小波神經網路的分析方法；然後，論述了精度損失診斷的理論與思想。
  5. Concentrating production reduces the transport cost largely and the network linkage between each behavior subjects decreases the transaction costs greatly. this can be consistent with the hypothesis of the transport cost and the transaction cost being an intermediate level requested by the new economic geography theory and the new classical economics theory

    企業集群內的集聚生產能使企業運輸成本大大下降，網路聯系能使交易成本大為降低，滿足新經濟地理學和新興古典經濟學理論運輸成本和交易成本處于中間值狀態的前提假設。
  6. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  7. Meanwhile, this paper attempts to present a new framework, acting enterprises as a basic unit of analysis, cluing the increasing - returns, applying new theoretical tools, such as new economic growth, new economic geography, new classical economics and network organization theories to study enterprise clusters. at last, i will state a case study on steel tape clusters in nanzhuang village, yucheng county, henan province

    本文以企業作為分析的微觀基本單元，以收益遞增為線索，將新經濟增長理論、新經濟地理學理論、新興古典經濟學理論和網路組織理論用於企業集群競爭優勢的研究，並選擇河南省虞城縣南莊村鋼捲尺企業集群作案例分析。
  8. 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。
  9. Typical application of fuzzy theory used in equipment fault diagnosis based on ann

    模糊理論在設備故障診斷神經網路中的典型應用
  10. In the paper, based on the existing literature research foundation an analog circuit catastrophic fault location approach by using feedforward networks with back ? propagation learning is realized. by this approach, the simulation require ments before test are reduced because fewer training samples are needed, and the fault location process is fast. this method is very efficient in location of single hard fault wit component tolerances. the measureme nt space feature and the general characterization concept of single and double soft fault in linear circuits are presented. according to this concept, a linear circuits soft fault location approach using subhidden layer bpnn is established with element tolerance, and it is shown that this approach is successful in fault location. a double fault feature extraction.,

    本文在現有文獻理論研究的基礎上實現了採用bp演算法前向多層神經網路對直流測試下模擬電路硬故障的診斷方法。其特點是採用少量典型特徵樣本作為bp網路的訓練樣本，獲得訓練樣本的代價小，減少了測前工作量，同時診斷速度快，在考慮元件容差時仍有好的診斷效果。文中介紹了線性電路單一軟故障和雙軟故障所具有的電壓增量空間特性和統一特徵概念。
  11. There are lots of non - linear systems in the nature. because classical and morden control methods have common limitation : mathematical model of the plant has to be known in advance. but in fact many plants are intricate uncentaintied and time - varying. in addition, they also are non - linear. though there are methods of system identification in control theories, the identification theories and ways of non - linear and time - varying system are not mature and systematic. it is very difficult to carry out effective real - time control. the neural networks can approximate random non - linear relations and study by itself, and it provides new thoughts and new ways for solving these problems

    由於經典和現代控制方法存在一個共同的局限性：就是要求預先知道被控對象的數學模型，但實際上許多對象具有復雜的不確定性和時變性；此外還具有復雜的非線性。雖然在控制理論中有系統辨識的手段，但是對于非線性時變系統尚無成熟的和系統的辨識理論與方法，要實行有效的實時控制就很難了。人工神經元網路有表示任意非線性關系和自學習等能力，給解決這些問題提供了新思想和新方法。
  12. With the development of educational measurement theory and computer network technology, there are some underlying changes in educational examination system in china, from traditional fixed testing based on classical test theory ( ctt ) to computerized adaptive testing ( cat ) based on item response theory ( irt )

    隨著教育測量理論和計算機網路技術的發展，中國的教育考試也正在發生著悄悄的變化，由傳統的基於經典測驗理論（ ctt ）的固定題目、同一試卷的考試向基於項目反應理論（ irt ）的計算機化自適應測試（ cat ）的方向轉軌。
  13. The traditional theory considered that the usual double acrylate molecule with liquid crystal of a kind had the same tropism as the liquid crystal because of the effect of the liquid crystal, then was anchored to form the long fibre network structure

    經典理論認為：首先是液晶性的二丙烯酸酯單體在液晶中的取向，然後通過聚合過程將其固定下來形成纖維網路的的機理。
  14. Currently, image recognition has five primary methods : classical statistic model method, auto method based on information, auto method based on model, amalgamation of several sensors and manual neural network. how to improve the classical method and how to assemble different recognition method are still problems to be improved. based on the current research state, the classical statistic model recognition method and correlative knowledge are researched firstly

    基於當前的研究現狀，本文以可見光和紅外儀器同步拍攝的不同環境下的運動車輛目標序列為對象，在深入研究了經典的統計模式識別方法及相關理論的基礎上，對車輛目標識別系統中的特徵提取和識別方法等方面做了較深入的研究，並對神經網路在車型識別系統中的應用作了試探性研究。
  15. 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。
  16. 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。
  17. The author has collected abundant feature data in this field, applied routine analysis monitoring - based, spectrometric analysis - centered and ferro graphic analysis and particulate counting - validated oil monitoring technology, extracted images and numeric feature information produced by all components as friction ones in marine diesel power equipment. and under the theory guidance of fuzzy and neural network, synthesized the feature data and other interrelated qualitative and / or quantitative feature information of lubricant in diesel engine power equipment from the perspective of lubricant ' s routine analysis spectrometric analysis, ferro graphic analysis, particulate counting technology and so on., to establish an original regulating mathematic model capable of power equipment ' s conditions, diagnosing its failure, maintaining and supervising

    本文綜合應用以常規理化檢驗為基礎、以油料光譜分析為核心，以鐵譜分析和顆粒計數為驗證的油液檢測技術，採集船舶柴油機動力裝置典型數據和相關信息，提取船舶柴油機動力裝置潤滑油中涉及的各種數字、圖像與知識類特徵信息的基礎上，應用模糊理論和神經網路理論，對船舶柴油機動力裝置潤滑油的常規理化分析、光譜分析、鐵譜分析、顆粒計數分析等技術手段獲得的特徵數據，以及其他相關定性定量特徵信息進行信息融合，建立了船舶柴油機動力裝置狀態評價、故障診斷、維修管理原始規則的數學模型。
  18. Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data

    論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。
  19. This paper tends to finish the following tasks : first, it analyzes current situation of exam based on network course., advantages and disadvantages of current computer measurement theory ( classic measurement theory and item response theory ), and its concrete direction effect in current item bank

    本論文首先對當前網路課程考試的現狀進行分析，隨後分析了當前計算機測量理論（經典測試理論和項目反應理論）的優缺點，及其在網路考試題庫中的具體指導作用。
  20. The simple control theory used in this field for years ca n ' t meet the new requirement of the system any more due to the higher control target, and a more advanced theory need to be found to support the system with higher complexity, hi contrast with the slow progress of the control theory, the automatic control tool experienced the evolution of pneumatic meter control, centralize data control system and distributed control system has made a great achievement, that is the new net integrated and distributed control system - field bus control system

    控制要求的不斷提高，控製程度的愈加復雜使長久以來在生產中運用的單一的經典控制理論和技術已經不能滿足系統的需求，現代化工業過程式控制制系統迫切地需要高級理論的支撐。與理論發展相對滯后形成對比的是，自動化技術工具的蓬勃發展，在經歷氣動儀表控制、集中式數字控制系統到集散式控制系統后形成了新一代的網路集成式全分佈的現場總線控制系統。
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