系統學習法 的英文怎麼說

中文拼音 [xìtǒngxuéxífǎ]
系統學習法 英文
system method
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  2. This research work on bird striking has a long history and already got plentiful achievemellts in theories and experiments, howevef, still a long way no doubt waits to go for sophisticated research work on it more detailed to apply to airframe engineering quantitatively in combination wth the technical reformation of the birdstrike experimelltal system in our laboratory, this thesis deeply studies and analyses the numerica1 computation and simulation methods to birdstrike dynamic response problem based on finite - elemefit - method ( fem ) numerical emulation and modem large - scale scientfic computation software

    本文結合我公司鳥撞實驗體系技術改造項目，應用有限元數值計算模擬技術及現代大型科學計算工具，對鳥體撞擊飛機風擋結構的動力學響應問題進行了系統學習與研究探討，初步掌握了科學計算方法，獲得了計算模擬的實踐經驗，為今後深入應用大型科學計算手段進行撞擊類科學問題的研究以及深入應用於工程實踐奠定了強有力的工作基礎。
  3. The scielltific computational theories and methods on bird strike to the windshield of aircraft have been systematically studied and summed up in this thesis, such as fem comptltational principles and procedures to elastic dynamic problems under the conditions of small and non - linear finite deformation, 3d viscous elastic constitutive theory and incremelltal expression under the consideration of the rate effect of non - metallic materials like the aircraft windshield, and the numerical compatational principles and key constitutions for impact - contact dynamic subjects

    2 、系統學習並歸納總結了鳥體撞擊風擋結構問題中的科學計算理論與計算方法。按照鳥撞問題數值計算方法逐步深入的思路，系統總結了小變形結構動力學有限元數值計算方法、有限變形的幾何非線性有限元數值計算方法、粘彈性體非線性形變的本構物理關系；對于實施復雜結構有限元動力學計算的載荷增量方法提出了對newmark差分的改進以及進行材料與幾何非線性數值計算的細致步驟。
  4. Studying politic education is the method that shows systematic didactics gives birth to study, way and strategy, make the student learns the education activity of study finally

    學習策略教學是指系統的教授學生學習的方法、途徑和策略，使學生最終學會學習的教學活動。
  5. The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function

    3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。
  6. At the same time, the diophantine matrix equation is closed, which has strengthen the velocity of control, so the rapid system ' s control is got ; in addition, because the synthesis solution with artificial intelligence technology and adaptive control technolo - gy together is adopted, the whole loop system ' s ability of learning and adaptation is strong and the system ' s intelligence level is impro - ved, so the robustness ability is got

    因此加快了控制速度，較好地解決了控制系統的快速性問題；另外加之此控制方案採用了人工智慧技術和自適應控制技術相結合的方法，增強了整個閉環控制系統的學習能力和自適應能力，提高了系統的智能水平，從而使閉環系統具有了強魯棒性的特點。
  7. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  8. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  9. This article is composed of three parts, data collection, data filtering and machine learning. these three parts were assembled organically and enhanced the intelligence as far as it can at every point to improve on the traditionary word segmentation algorithm and inductive learnings

    三個子系統通過知識庫有機的結合在一起，並盡可能地在系統的各個環節利用agent的思想提高智能化，並對傳統的分詞演算法，歸納學習演算法做了融合和改進。
  10. Very large data bases vldb 05, trondheim, norway, 2005, pp. 505 - 516. 8 agrawal s et al. dbxplorer : a system for keyword search over relational databases

    因此，我們提出一個分類學習和選擇候選網路的方法clascn classification ， learning and selection of candidate network來提高基於模式圖的在線數據庫關鍵詞檢索系統的查詢效率。
  11. Thirdly, the functions of reversibility of the built bar code and changeableness of the color of bar code have been improved by combining various build algorithms with the methods of software programming. as vc + + 6. 0 is used as the design platform for the generative system of bar code, and the ways of software programming have been learned and the build principles of program frame as well as the coding principles of menu, dialog box, toolbar, . document and view have been applied to finish the software finally

    再次，是把各種演算法與計算機軟體編程知識相結合，對常用軟體條碼方案中存在的生成條碼不可修改、條碼顏色太過單一這兩點不足之處進行了相應的改進；本課題選用vc + + 6 . 0作為條碼生成系統的設計平臺，系統學習了該編程平臺編寫軟體的方法，並應用程序框架的執行原理，菜單、對話框、工具欄以及文檔視圖的編寫原理，最終實現了條碼生成系統軟體化過程。
  12. Based on the above works, the distance education resource warehouse is improved in this thesis by adding the storage and management of media material metadata and learning content hierarchy graph ; the learning model of distance education system is improved and introduced. the transformation algorithm between learning content hierarchy graph and and / or tree is given. finally, the researc

    在以上理論研究成果的基礎上，對現有的遠程教育資源庫進行了改進，增加了媒體素材庫元數據和學習內容層次圖的存儲和管理；同時對遠程教育系統學習模型進行了改進，給出了改進后的遠程教育系統學習模型示意圖，並給出了學習內容層次圖和and / or樹之間的構造轉換的具體演算法。
  13. Using framework inference and researching strategy of prior part, 1 build inference engine of expert system of motor fault diagnosis. utilizing feature analogy learning method, complete mechanism of instance learning of expert system. while the system records process of diagnosis and route of researching, realize explaining control strategy by report

    利用框架推理，以局部符合的深度優先搜索構建電機故障診斷專家系統的推理機，利用屬性類比學習法實現專家系統事例學習機制。採用記錄診斷過程，和搜索路線通過報表實現解釋機制。
  14. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  15. At the same time, the author puts forward that learning style possesses the characteristic of initiativeness, independence, uniqueness, and experience, dissects the distinction and connection between learning style and learning method, learning principle, and learning style, and analyzes in depth the dimensionality of learning style and establishes vividly new model of learning style through modeling principle, on the basis of which the author reclassifies learning style through multiple dimensionality, namel y, the property of independence - investigation, of independence - cooperativeness, and of investigation - cooperativeness

    在分析傳統學習方式的利弊以及現有學習方式相互關系的基礎上，討論了學習方式現有的各種定義，從教學實踐行為角度對學習方式重新進行了界定；分析了學習方式的特徵；剖析了學習方式與學習方法、學習原則、學習策略和學習風格的區別與聯系；提出了學習方式的多維模型，並在此基礎上從自主性? ?探究性、自主性? ?合作性、探究性? ?合作性維度對學習方式進行了分類。
  16. So far we have discovered the use of the basic event system

    至此我們只是學習了基本事件系統的用法。
  17. This article puts forward a modern system and method in teaching maritime english by using the modernized education technology of multimedia cai of computer and courseware design & exploitation, and introduces the designing process of the cai software of maritime english in details, which including four system of scene - dialog system, dictionary system and testing system, this maritime english cai was designed by using the authorware 4. 0 as a main tool on the stage and access as the database designing tool on backstage

    運用計算機多媒體cai現代化教育技術，本文提出一套現代化的航海英語教學體系，教學方法及教學課件的設計與開發。並具體介紹了《航海武漢理工大學碩士學位論文英語》互動式多媒體cai軟體系統中對話系統，字典系統和習題側試系統的設計與開發過程。該軟體系統是以author ， are4 . 0多媒體製作工具作為前臺開發工具， acess作為后臺數據庫開發而成的。
  18. This fact gives us sufficient proof of setting matrix and geometrical transformation in domestic schools, the great education value of matrix and geometrical transformation, such as cultural value, intelligence value, application value, was discussed in succession, and several excellent examples in using were given. a systematic instruction design about matrix and geometrical transformation based on their logical system in senior high schools, aiming at the gain of knowledge and cultivation of capability, is given. after this, the learning analysis, contents analysis, target analysis, strategies making, fixing of teaching process, exploitation of instruction resource, implement, and evaluation were made

    本研究首先綜述了主要發達國家高中數學課程中矩陣與幾何變換的設置情況，這些國家的高中數學課程中均有矩陣與幾何變換的內容，這一事實為國內高中開設矩陣與幾何變換這一選修專題提供了橫向參照依據；研究了矩陣與幾何變換的巨大教育價值，表現在它的文化教育價值、智力教育價值與實際應用價值，並舉例加以了說明；根據矩陣與幾何變換作為數學知識自身所具有的邏輯體系，採用現代教學設計的「系統設計法」 ，嘗試進行了「以培養學生獲取新知識能力為目的的」教學設計，其中包括學習需求分析、教學內容分析、學習者分析、教學目標闡明，教學策略制定、教學過程確定、教學資源開發、教學實施、教學評價等環節。
  19. It ' s a problem of great significance how to filtering a signal in joint time - frequency domain and reconstruct the time series from the time - frequency plane selected. in this thesis, the theory of joint time - frequency analysis and synthesis and time - frequency filtering is investigated. two kinds of new time - frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection

    本文在系統學習現有的各種時頻分析及其綜合演算法的基礎上，詳細研究了時頻域濾波的核心思想和基本方法，吸取了自適應時頻分析和線性子空間投影wigner - ville變換的優點，提出了的兩種新的時頻域濾波方法，並通過理論分析和數字模擬完成了相應的數值特性與應用特性研究。
  20. The multi - input multi - output ( mimo ) control system was constructed, as the internal model is dynamic neural network obtained from study, while the controller is neural network obtained from direct inverse - system study

    以通過學習得到的動態神經網路作為內部模型，將直接逆系統學習法得到的神經網路作為控制器，構造了mimo控制系統。
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