連續學習 的英文怎麼說

中文拼音 [liánxùxuéxí]
連續學習 英文
unspaced learning
  • 連 : Ⅰ動詞1 （連接） link; join; connect 2 （連累） involve （in trouble）; implicate 3 [方言] （縫） ...
  • 續 : Ⅰ形容詞（連接不斷） continuous; successive Ⅱ動詞1 （接在原有的后頭） continue; extend; join 2 （...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 連續 : continuation; succession; series; continuity; continuing; running; continuous; successive; contin...
  1. The uninhibited use of free-body diagrams is of utmost importance to students of continuum mechanics.

    自由地使用自由體圖對于學習連續介質的學生來講是最重要的事。
  2. Concurrent evolution is a form of evolution in which all time space continuums evolve and learn together

    同步進化是一個進化形式，其中所有的時間空間連續體一起進化和學習。
  3. One of those routes ? always the same one ? led to food. （ 2 ） the researchers measured how quickly the animals learned by seeing how long it took hungry birds to choose the correct route on five of six consecutive tests

    在6個連續實驗的5個實驗中，研究人員通過觀察饑餓時這些雞選擇正確路線所耗費的時間，從而測算出它們的學習速度。
  4. Headed by celi director, larry mercado, the team went on to participate in the korea study abroad ( philippines ) fair, an event also conducted in two consequent venues

    Celi經理， larrymercado帶團參加在兩地連續舉行的韓國海外學習（菲律賓）博覽會。
  5. Continuous and categorical versions of the generalized association plot, statistical learning methods and nonlinear dimension reduction techniques, and latent class models will be integrated into a platform by combining clever computational algorithms and flexible statistical models

    並將聯合應用精巧的計演算法則與靈活的統計模型，來整合連續型與類別型資料的兩種廣義相關圖、機器統計學習與非線性降維法、以及潛在類別模型等於同一平臺。
  6. It is a little difficult tovcomplete the research and three years have been spent on it finally, there are three important conclusions : the three - dimensional feature structure ( team learning, team member roles, team empowerment ) of learning team is the influence on team effectiveness ; the team learning, team member roles and team empowerment can be designed to improve the organizational performance in the management of chinese enterprises ; the main kind of chinese enterprises now is the ameliorating team and it is in the middle of the continuity of learning team

    本研究的難度和工作量比較大，歷經三年努力而成。本研究的重要結論包括:學習型團隊三維特徵結構（團隊學習、團隊角色、團隊授權）是影響團隊效能的重要因素;在實際工作中，團隊學習、團隊角色和團隊授權三因素水平可以提高組織效能;我國企業中現有的團隊以「學習改善型」為主，處于團隊連續體的兩極之間。
  7. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  8. Solutions to the network capacity assignment problem based on continuous learning automata

    基於連續學習自動機解決網路負載量的分配
  9. Do not leave gaps in your study plan

    學習計劃在時間上要有連續性，不能有間斷。
  10. Supported by the national natural science foundation of china ( nsfc ) 2, the research topic of this paper has been focused on reinforcement learning and its applications in mobile robot navigation. one part of the main contents in this paper is the generalization methods for reinforcement learning in solving markov decision problems with continuous states and actions. another part of the main contents is the applications of reinforcement learning methods in the optimization of the path tracking controllers and the autonomous navigation controllers for mobile robots

    本文在國家自然科學基金項目「增強學習泛化方法研究及其在移動機器人導航中的應用」的資助下，以增強學習及其在移動機器人導航控制中的應用為研究內容，重點研究了增強學習在求解連續狀態和行為空間markov決策問題時的泛化（ generalization ）方法，並針對移動機器人在未知環境中的自主導航和路徑跟蹤控制器的優化設計問題，研究了增強學習在上述領域中的應用。
  11. The control theory of chaotic dynamical system mainly contain learning control with distal teacher, adaptive state feedback control, sliding - mode synchronous control and passive equivalence control, with which we can realize the stable control of chaotic system

    針對連續混沌動力學系統，採用遠程學習控制、自適應狀態反饋控制和滑動模態同步控制以及等效無源控制等控制策略，實現連續混沌動力學系統的快速穩定。
  12. 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。
  13. Any model created with doorsanalyst can, along with all textual requirements, be fully and automatically transferred to tauarchitect, telelogic s advanced systems engineering tool environment

    ?直觀、高效且有支持力的編輯環境便於學習，可確保模型的質量和連續一致性。
  14. Based on continuous time system, convergence discussion and testifying were made to iterative learning control algorithm under the condition of constraints. then algorithm a and algorithm b that mentioned before are testified that they can be used under the conditions of that controller output has constraints

    本文針對這一情況作了討論，基於連續時間系統，對控制器輸出有限制的情況下的迭代學習演算法做了收斂性討論和證明，並且證明了前面提出的演算法a和演算法b可用於控制器輸出有限制情況下的機械手控制。
  15. I had read for bachelor degree in anhui normal university from 2000 to 2004 and will finish reading for master degree in east china normal university in 2007. i specialize in enterprise organization and management. i worked hard and had passed cet4, cet6 and national computer grading examinations rank 2, computer language c

    2000年9月，被安徽省重點師范院校安徽師大錄取，四年的學習中，曾被評為校「優秀團員」 2001年，連續兩年被評為校「三好學生」 ，並獲得一等獎學金2002 2003年，並通過國家英語四六級考試和國家計算機二級c語言考試。
  16. It also means that these activities designed should be such as the real life and situation of the students, and clear in objective, inclusive in feedback and evaluation and scientific in arrangement of the tasks. in addition, these activities designed should be colorful and suitable to the taste of different students and aimed at the cultivation of the overall ability of the students

    所謂任務本身的真實，第一是指實用性，設計時要注意和學生生活與學習經歷相結合；第二，任務要有明確的目的，同時要有反饋和評價；第三，任務活動能形成有梯度的連續性的任務環；第四，任務活動要具有多相性；最後任務活動要注意對學生綜合技能的培養。
  17. In short, through researches the author discovers chaotic neural networks having tremendous preponderance in the field of intelligent message treatment, particularly of separation of superimposed pattern, many - to - many associations and successive learning

    總之，經過本文的研究發現：混沌神經網路在信息處理特別是聯想記憶包括分離疊加模式、多對多聯想和連續學習方面具有巨大優勢。
  18. Based on other research, the author pays his main attention to the feature of associative memory for chaotic neural network and researches ' on the following three aspects : i ) research on the parameter effecting on associative memory properties. ii ) research on the structure effecting on many - to - many associative memory properties. iii ) research on the successive learning ability

    在他人研究基礎上，本論文深入探討了混沌神經網路的聯想記憶特性，著重研究了以下三個方面： （ 1 ）網路參數對聯想記憶特性的影響； （ 2 ）網路結構對多對多聯想的影響； （ 3 ）混沌神經網路的連續學習能力。
  19. An investigation shows that many older people express a strong desire to continue studying in university or college

    一項考核顯示許多老人都有到大學連續學習的心愿和期望。
  20. Moreover, the author briefly discusses the theoretical basement of the chaotic neural network. secondly, from chapter three to chapter five the author researches on the effect of parameter and structure on the chaotic neural networks and its successive learning capability

    從第三章到第五章重點研討了網路參數、網路結構對混沌神經網路聯想記憶特性的影響以及混沌神經網路的連續學習功能，得出了一些有意義的結果。
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