構造實習 的英文怎麼說

中文拼音 [gòuzàoshíxí]
構造實習 英文
practice in tectonics
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 造 : Ⅰ動詞1 （做; 製作） make; build; create; produce 2 （假編） cook up; fabricate; concoct 3 [書面語...
  • 實 : Ⅰ形容詞1 （內部完全填滿 沒有空隙） solid 2 （真實; 實在） true; real; honest Ⅱ名詞1 （實際; 事實...
  • 構造 : structure; construction; constructional detail; tectonic; structural; makeup; anatomy; constituti...
  1. Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database, an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression, based on measuring and learning 400 groups of single - color database. by this method, the mean error decreases when converting from rgb to cmyk, the precision of color matching is improved, and the automatic and general problem in color matching is further solved

    本文基於統計學習理論構造了一種快速自適應隨機搜索演算法，證明了演算法的收斂性.給出了一種簡易實用的寬帶天線匹配設計新方法.應用該自適應演算法進行天線匹配設計，不僅演算法簡單，易於編程實現;而且能夠快速設計出具有較好性能的匹配網路，非常適用於各種短波、超短波天線的匹配設計問題
  2. Thirdly, it is supported by java technology. java language is not only a right programming language to build agent, but also it has some characters such as architecture neutral and higher safety, running java applet, program can increase the functions of the client, lighten the burden on the server, as well as can operate the client contents according to the privilege assigned, and in order to increase the safety of system. finally, in the thesis, by using the knowledge related probability and statistics, author puts forward a kind of method which can make the grade mark quantifying, and with this method, the problem which is how to get an accurate evaluation for the subjective test questions that learners answer in exam, is solved primely

    本文針對以上缺點，提出基於agent的個性化遠程教學系統，本系統中引入分散式人工智慧（ dai ）領域中的agent技術，在系統中構造一個學習者agent ，它隨時跟蹤學習者的學習過程，記錄其興趣、愛好等個性特徵，並適時地調整對其採用的教學策略，有效地解決了目前的系統智能性較低的缺點；其次，本系統採用xml技術來組織教學內容，改變了html中內容和形式捆綁在一起的缺點，使得內容和形式相分離，從而可以為太原理工大學碩士學位論文不同認知水平的學習者提供不同的教學內容，增強了交互功能;另外，本系統採用java技術， java語言不僅適合作為agent的開發語言，而且java語言具有平臺無關和安全性高的特點，通過運行javaapplet來增強客戶端的功能，減輕服務器端負擔，並且這些appiet根據客戶賦予的權限對客戶端內容進行操作，增加了安全性;最後，本文運用概率論與數理統計學中方法，提出一種把等級成績數量化的方法，很好地解決了對學習者考試中主觀題的準確評價問題，為實現個性化教學提供了一個較準確的依據。
  3. This paper begins with the concepts, feature and purpose of the knowledge management, analysing the necessity of practising the knowledge management ; analysing the structure of its system ; discussing the feature and content of it and raising five specific countermeatures which explain the way to carry it out, including realizing the idea ' s reform and setting up the knowledge management ' s consciousness ; creating sharing mechanism and learning organization ; rebuilding the organization and establishing the chief knowledge office ; deepening the service ' s level and strengthening the customer ' s education ; setting up the knowledge base and the sharing system

    本文從知識管理的概念、特徵和目標入手，分析了圖書館實施知識管理的必要性，探討了圖書館知識管理系統的建構，論述了圖書館知識管理的特徵與內容，並對圖書館如何實施知識管理提出了五條具體對策，即實現觀念變革，樹立知識管理意識；創建知識共享機制，營造學習型組織；重建組織機構，設立知識主管；深化服務層次，加強用戶教育；建立知識倉庫，完善共享體系等。
  4. These methods are not very effective to the image edges extraction with noise. in this paper, an edge detection method based on self - learning and statistics is improved

    此外，通過統計參數自學習的方法，針對大量的圖像，自適應構造邊緣檢測的閥值，能盡可能檢測出圖像的真實邊緣，減少或避免偽邊緣。
  5. The third part is about the practical exploration based on theory research. in this part, it mainly discusses how to design normalization instructional plan in teaching practice combining the characteristics of the normal school students and try to construct the it - based instructional mode. to achieve such goals mentioned above, first of all, when a teacher designs the it - based instructional plan, he should make overall plans and t

    首先，教師進行信息化教學方案的設計時，要統籌兼顧，為師范生設計和構造出一系列典型的操作性「任務」 ，讓師范生在完成「任務」中獲取信息並學會加工、處理和創新信息；同時，在信息化教學設計的指導下，構建相應的教學模式，並對情境化啟導學習模式、基於案例的發現學習模式、基於資源的協作型學習模式、集體授課型教學模式進行了實踐探索。
  6. Architected in the easy english caf, the english theater and the english pub, this section is intended for comprehensive situational english experiencing and training, through multi - intelligence learning and activities, for both language acquisition and cultural assimilation prompted by designed or natural situations in business communication

    以悠閑英語茶座、英語小劇場和英式酒吧為構造，實訓室第一部分適用於通過設計或自然的商務溝通情景，通過多智能學習和活動，進行綜合情景英語的體驗和訓練，實現語言發展和文化融合。
  7. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  8. In view of the poor experimental environment of computer network, the author compiles the textbook of experiments and constructive programs about network experimental environment with an aim to develop students ' capacities in the following aspects : ( 1 ) the ability of analyzing software and hardware products ; ( 2 ) the ability of maintaining and repairing software and hardware products ; ( 3 ) the ability of designing, experimenting and developing software and hardware ; ( 4 ) the ability of studying, mastering and utilizing present equipments, especially the integration ability of organizing and constructing system application environment

    摘要針對計算機網路實驗條件差這一狀況，作者結合實際情況，編寫了實驗教材和網路實驗環境的建設方案，並在以下幾個方面提高學生的專業能力：分析軟、硬體產品的能力；維修軟、硬體產品的能力；設計軟、硬體和試驗開發的能力；學習、掌握和應用現有設備的能力，特別是組織構造系統應用環境的集成能力。
  9. This thesis proposes a class comprehension model according to constructivist learning theory, and implements a software visualization tool ( mfv - class ) to help in the comprehension of a class

    文中依據學習構造理論提出了一個類的理解模型，並實現了一個輔助理解類的可視化工具mfv - class集成到autoore中。
  10. The mathematical models for adaptively examining the quality of tobacco leaves were built with the theory of fuzzy mathematics and artificial neural network, on the basis of the quantitative analysis of external quality of tobacco leaves, in order to reduce the systems sensitivity to contradictory dates and train the system under the condition of having only a few standard tobacco leaves

    在煙葉外觀品質特徵定量化的基礎上，構造了煙葉質量自適應檢驗數學模型，目的是減少系統對矛盾數據的敏感性，以實現在標準煙葉樣本較少的情況下進行學習。
  11. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  12. The e - education platform is used as the systems that medium proceeds teaching activity with the network, therefore it also exists these secure problems. the network education directly influents in safety teaching activity of the platform whether can normal proceeding, so the author studied systematically the secure management of the e - education platform, and put forward the security manage the structure method of the model. this security management system regard the conjecture study community of the capital normal university as the research object, put forward the security management system for e - education platform

    網路教學支撐平臺的安全會直接影響到教學活動是否能夠正常進行，所以本文作者以網路教學支撐平臺為對象較為系統地進行了安全管理方面的研究，提出了針對網路教學支撐平臺的安全管理模型構造方法和實施方案，作者並以首都師范大學虛擬學習社區網路教學支撐平臺為研究對象，進行了網路教學支撐平臺安全管理系統的實際應用，取得了較好的應用效果。
  13. This paper, beginning with the world - famous erp software sap r / 3, studies the business process of erp software, clarifies the three characteristics of erp software, and discusses how to construct the business process system of the software and how the system be connected with enterprise entity. with regard to the carrying out of erp, the thesis provides two methods of basic data collecting which are compensation to each other. as to the phenomenon that erp are commonly carried out with low success rate in china, the paper makes a deep research into bpr which is closely associated with the operation of erp, and proposes the suggestion that a proper bpr route should be chosen according to the practical conditions of the enterprise

    本文從關心民族erp軟體應如何發展和中國實施erp成功率不高的角度出發，從一流erp軟體sapr 3著手研究了erp軟體中的業務流程問題，構造了erp軟體如何與企業的業務流程相映射和如何規劃企業業務流程的一套體系；討論了erp實施中的基礎數據收集問題，給出了兩條互為補充的基礎數據收集方法；結合前人的研究結果和筆者在企業的實習經歷，討論了在中國的環境下與erp相結合的bpr的兩條路徑。
  14. 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。
  15. This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically. we end this chapter with some problems in the future. in chapter 2, we present an evolution strategy to infer fuzzy finite - state automaton, the fitness function of a generated automaton with respect to the set of examples of a fuzzy language, the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given

    目前，國內外對神經網路與自動機的結合的研究己取得了一系列成果；在第一章，我們首先將對這些結果以及這個領域的研究思想與方法做一個概要的介紹；然後提出一種推導模糊有限狀態自動機的構造性演算法，解決了模擬實驗中所給出的具體網路的隱藏層神經元個數的確定問題；在實驗中，我們首先將樣本輸入帶1個隱藏層神經元的反饋網路訓練， 150個紀元以後增加神經元，此時的新網路在124紀元時收斂；而blanco [ 3 ]的固定性網路學習好相同的樣本需要432個紀元。
  16. Combine to point out the " change the education the principle ", " teaching means modernization ", the " construct the new and modern teaching mode ", " the research study " for the now four kinds of reformations of teachings of geography foundations raise the, especially right how the " construct the scenario, and adjust the classroom mental state the atmosphere ", how the " set up the new and modern teaching mode ", how the " set up the scenario to inspire the deliberation creative mode, bring upped to in a specific way into practice the wayed, and write outed the demonstrate of teaching planed the next in order bring up change that " high school geography the teacher is a foundation geography the course reform to successfully guarantee ", combine to point out the " to thought the idea to renew ", " knowledge the construction renew ", the " as soon as possible increase to teach the ability " is a teacher to should have three aspect change and embodied the operation

    並指出「轉變教育理念」 、 「教學手段現代化」 、 「構造新型現代化教學模式」 、 「研究性學習」為當今地理基礎教學四種改革舉措，特別是對如何「營造情境，調適課堂心理氣氛」 ，如何「構建新型現代化教學模式」 ，如何「構建情境啟發? ?思索創新模式，提出了具體的實施辦法，並寫出了示範教案其次提出「中學地理教師的轉變是地理基礎課程改革成功的保證」 ，並指出「思想觀念更新」 、 「知識結構更新」 ， 「盡快提高施教能力」是教師馬上應有的三方面轉變且指出了具體行動方法。
  17. The aims of this dissertation include : try to solve problems in rough set based knowledge discovery and machine learning ; build up knowledge model for complex industrial processes ; following the concepts and approaches of nonlinear system control, construct a control system framework based on rough state space ; apply rough set theory to fault detection and diagnosis ( fdd ). the main contributions of the dissertation are as follows : 1 reviewed the developments and research situation of rough set theory

    本文的主要目的是試圖解決粗糙集在知識獲取、機器學習以及工業生產實際運用中所遇到一些主要問題，利用粗糙集在分析處理不完全、不精確和不一致數據中所具有的優勢，對復雜工業過程進行基於規則的非機理知識建模，在規則模型的基礎上，結合現代控制理論中的有關概念和方法，構造粗糙控制的初步框架，並將粗糙集方法運用於故障診斷。
  18. In order to realize the optimum arrangement of elevators, the evaluation function and ambiguity function for dispatching elevators are established, and the optimum weight coefficients of the different factors in the estimating function are obtained with the aid of the bp neural networks self - learning function

    摘要通過構造用於派梯選擇的評價函數，在建立隸屬度函數的基礎上，利用前向神經網路自學習功能獲得評價函數中各個因素的最佳加權系數，實現最佳派梯。
  19. Whereas we carry out correspondent teaching strategy : ( 1 ) knowing about the discipline ' s features and making your teaching goal clear ; ( 2 ) creating study environment and arousing students " study motivation ; ( 3 ) strengthening cooperative study and constructing study atmosphere ; ( 4 ) being active in exploring and experiencing and promoting the meaning construction of maths ; ( 5 ) paying particular attention to rethinking and assessment and optimizing the teaching process ; finally, we should create the cultural environment for maths constructivism study

    二是實施數學建構學習的個性化教學。包括：遵循建構性、數學化、個性化、平衡性及發展性教學原則；實施相應的教學策略：了解學科特點，明確教學目標；創設學習情境，激發學習動機；加強協作學習，營造學習氛圍；積極探索體驗，促進意義建構；注重反思評價，優化教學過程。三是創設數學建構學習的文化環境。
  20. The characteristic of method is, in every process of iterative learning, after obtaining better approaching precision of network training for model identification iteratively, the feed - forward action of iterative learning control law for the next trail is constructed by output signals of the neural network, and then integrated with feedback control to track the desired trajectory of robot in real time

    該方法的特點是，在每一次迭代學習過程中，使神經網路訓練到對模型的辨識達到比較好的逼近精度后，利用神經元網路的輸出構造下一次迭代學習過程中控制律的前饋部分，再將它與實時反饋控制結合，形成本文提出的魯棒迭代學習控制演算法，並對機器人系統進行控制。
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