網路學習 的英文怎麼說

中文拼音 [wǎnglùxuéxí]
網路學習 英文
web-based learning
  • 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...
  • 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
  1. Decide from the questionnaire investigation, the web project - based asynchronous learning is admissive among the students

    同時通過對學生的問卷調查，發現學生對于這種專題導向異步網路學習持認可態度。
  2. The traditional neural networks, bp networks, are subject to three hardly conquerable drawbacks in network training and network design a long time, including slow training speed, the training tending to sinking into local minimum and the trained networks having poor generalization capability

    傳統的神經網路（ bp網路）在網路訓練和網路設計上長期受困於三個難以克服的缺陷，即網路訓練速度慢、訓練易陷入局部極小點和網路學習的推廣性能差。
  3. The algorithm speeds up network study train, compared with the real - time recurrent learning algorithm consumedly, and increases the accuracy of prediction

    與已有的實時循環學習演算法相比，極大的提高了網路學習訓練的速度，並且提高了預測的精度。
  4. Study on the multi - interactive web - learning community

    多重互動的網路學習社區研究
  5. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  6. Finally, bp neural network is improved for face recognition, the problem on choice of parameters is discussed, the sigmoid function and weight adjustment are improved for higher convergence speed

    討論了傳統bp神經網路的參數選取問題，對sigmoid函數和網路學習速率進行了改進，以提高系統的收斂速度和收斂率。
  7. The modern technology give a chance for the pattern of transmitting knowledge with network, the course based on network have opened up it ' s way in china, our pursuer paid more attention to the mode, but in america, pursuer have studied the more width aspect, thereinto the investigation and design of the information in the course based on network is very important, for the design of the information decide the pattern how the student receive the information, which will effect the way of knowledge understanding and memory, and the way is related to the study pattern, so the design of the information in the course based on network is very important to the efficiency and effect. so the core of the paper is the investigation and design of the information in the course. i have the entropy from the information science as the analyse tool to analyse the information, these work tell us the efficient pattern to transmit information, based on the result, i design the net page, of course, study theory and the character of the net itself are also the factors i employ for design a good net page. then, links and navigation is constituted for students adapt to the course based on network

    當今技術的發展給知識以網路為媒介來傳播的學習方式帶來前所未有的機遇，網路課程在國內迅速開展起來，但是國內研究者的注意力主要集中在對網路課程模式的探索上，放眼國外，他們的研究觸角已經涉及到網路課程比較細致的方面，尤其是對網路課程信息的研究構成了國外網路課程研究中的比較重要的一個方面，而網路課程中信息的設計是重要的，因為信息的組織設計是為了接受者能對信息進行有效的信息加工，信息的呈現模式影響著學習者對知識的理解和記憶方式，進而決定了學習者的學習模式，因此網路信息的設計在網路課程傳遞的效率和效果中就佔有很重要的位置。基於這個觀念，本文把網路信息的組織設計作為研究的重點，引入了信息科學作為研究的主要工具對網路中的信息作以量化分析研究，主要應用了信息科學中信息熵的公式進行推導，得到學習內容信息組織的基本模式，並充分利用網路自身特性和學習理論對知識信息進行細致的設計，此外還對鏈接和導航信息進行了設計，在網路課程的適應性方面作出了努力，把交互信息與輔助學習信息的分析設計與應用和對網路頁面信息的總體調節優化作為主體信息設計部分的補充，最終形成了網路信息組織設計的方案，力求創設一個能夠有效傳遞知識信息，減少網路自身弊病，並帶有一定適應性的網路學習環境，也使更多的網路課程的設計者關注網路信息這個因素。
  8. Consulting and training company specialising in executive coaching, leadership development, team performance and action learning with the goal of improving personal, professional and organisational performance

    -開發e - learning平臺，提供網路學習平臺及課程資源，為企業建立獨立的企業大學等服務。
  9. The author believes that internet learning strategy is combination of the action pattern and mental inclination of learning under internet learning environment

    作者認為網路學習環境下的學習策略是在網路學習環境下學習者進行學習的活動形式和心理傾向的總稱。
  10. The paper tries bp and rbf two kinds of commonly used neural networks compensation model mainly, has compared with many kinds of networks and learning algorithms through the instance

    本文主要嘗試了bp和rbf兩類常用的神經網路補償模型，通過實例比較了多種網路學習演算法。
  11. It tells us the emphasis of the course reform lying in using net technique to consummate art appreciation teaching. the third, the autonomous learning is necessary and feasible for art appreciation teaching and the net study is a typical autonomous leaning. the fourth, the acceptance of the aesthetic theory has a positive effect on the appreciation learner

    2 、 《全日制義務教育美術課程標準（實驗稿） 》為網路美術鑒賞學習的實施提供了新理念; 3 、網路美術鑒賞學習是以自主學習理論為基礎的先進學習方式; 4 、接受美學對網路學習美術鑒賞教學的啟示。
  12. Finally, there are 2 conclusions : guided by the thought of classified instruction, the e - tutors " instruction mainly represents in developing online learning situation, promoting students " cognition level, training study strategy, enhancing cooperative ability and so on. though intension in e - tutors " instructions is different in different step, support to student ' s emotion is emphasized all along

    研究表明：在分類指導的設計總思想下，網路教師的指導主要貫穿在「網路學習情境創設、促進學生認知水平的提高、學習策略的訓練、提高協作能力」等活動中，每個階段網路教師指導的強弱程度不一，但對學生的情感支持始終融合其中。
  13. The author elaborates autonomous learning categories, such as brainstorming, role - play, case studies, situated learning and so on. then the author designs a synthetical e - learning model that includes establishing unit objectives, problem driven ; creating situation, learning method instruction ; self exploring, discovering problem ; collaborative inquiry in group, communication among group ; teacher instructing, communication on web ; solving problems, constructing meaning ; forming works ; summary and evaluation

    論述了頭腦風暴、角色扮演、案例研習、情景化學習等自主學習的實踐類型，嘗試設計了一種包含確立單元目標、問題驅動；創設情境、學法指導；自主探索、發現問題；小組協作探究、組間交流；教師指導、網上交流；解決問題，意義建構；形成作品；總結評價八個環節的綜合網路學習模式。
  14. In the last of this paper we apply our algorithms to the learning of feed - forward neural network, and get some new learning algorithms. we also give some numerical experiments to compare our algorithms with others

    最後，將得到的這些優化加速收斂方法應用到了多層前饋神經網路的學習過程，給出了加速收斂的bp演算法，通過實際神經網路學習問題驗證了工作的成效。
  15. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  16. After analyzing the limitation of the web - based learning assistant system in china and integrating the present level of internet, this research puts forward and then creates a web - based intelligent learning assisted system - ilas with the direction of the theories such as constructivism, adaptive learning and software engineering which is for teachers and students and realize the combination of individual, adaptive and interactive group learning

    本課題研究在詳細分析了當前國內網路學習幫助系統存在的主要缺陷后，結合internet的實際發展水平，在建構主義學習理論、適應性學習理論和軟體工程學理論的指導下，提出並實現了一個基於web ，面向師生，以實現個別化學習，適應性學習與互動式群體協同學習相結合的，並具有初步智能的學習幫助系統? ? ilas 。
  17. In order to improve generalization capability of feedforward neural networks, the convinced networks generalization domain should be guaranteed to be close to networks input domain as maximal intrinsic error of networks output and maximal samples error are reduced by increasing hidden neurons in number in the progress of networks learning, otherwise generalization capability of feedforward neural networks is likely to be decreased

    為了提高網路的泛化性能，從理論上分析指出，在網路學習過程中通過增加隱含層神經元來降低網路最大固有誤差和最大樣本誤差的同時，要求確保網路泛化定義域盡可能接近網路輸入定義域，否則將有可能降低網路的泛化性能。
  18. Before the bp neural net forecast fire size class, it needs a process of studying from sample data. the neural net adjusts the weight value and threshold value according to the sample so as to give the linking weight value and threshold to low the difference between output from itself and the expected value

    Bp網路在應用於預測預報之前，需要一個網路學習過程，網路根據輸入的訓練（學習）樣本進行自適應、自組織，確定各神經元的連接權w和閾值。
  19. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  20. Then, the thesis designs a program model of mechanical fault diagnosis neural network learning and diagnosis, and uses turbo c2. 0 to achieve the total course of fault diagonisis on the gearbox in j ? 0 tractor based on ann theory

    再次，本文設計了機械故障診斷神經網路學習和診斷程序模塊，並利用turboc2 . 0編寫了程序，實現了基於人工神經網路理論的集材- 50拖拉機變速箱故障診斷的全過程。
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