自定進度學習 的英文怎麼說

中文拼音 [zìdìngjìndùxuéxí]
自定進度學習 英文
self-paced learning
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 進 : 進構詞成分。
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 進度 : 1. （工作進行的速度） rate of progress; rate of advance 2. （工作進行的計劃） planned speed; schedule
  1. In the third part, the chapter puts forward three dimensions of causality and discusses the relationships between the attribution and expectancy, and the emotions, and achievement motivation. and two kinds of theory of achievement and motivation - self efficiency theory and learned helplessness theory concerning the attribution are given. in the fourth part, the definite conclusion has been come from the data stat and the resolution analysis in the base of the status investigation of students ' s math learning attribution by the students and the teachers in high schools

    全文共分為六個部分：第一部分簡述歸因研究的理論背景，提出所要討論的問題第二部分對歸因、數學學習歸因及其含義進行闡述；第三部分首先指出了原因的三個分類維度，從原因的分類維度出發討論歸因與期望、情緒、情感及成就動機之間的關系，同時指出兩種與歸因有關的成就動機理論?自我效能理論和習得無助理論；第四部分是有關中學生及中學數學教師對學生數學學習歸因的狀況調查，通過數據統計及結果分析得出了一定的結論。
  2. Besides the catechetical correspondence course offered by the central council of catholic laity including text model and web model, it is hoped that other institutions diocesan audio - visual center and diocesan laity formation office etc. can make use of information technology, to produce multi - media catechism revision courses, by means of self - learning cds and websites etc., emphasizing interaction and interest. such courses can even provide teachers who will hold periodic meetings as follow up for the learning process

    除教友總會的再慕道課程文字及網上版外，有關機構教區視聽中心及教區教友培育辦事處等可利用資訊科技製作多媒體再慕道課程，透過自學光碟及相關網際網路，強調互動和趣味，甚至有導師定時跟進學習過程，詢問有關進度等，課程內容以生活和信仰整合為中心。
  3. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  4. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  5. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  6. All the data were analyzed by analysis of variance of spss, and it turned out some surprising and unexpected findings, which deviated from the original hypothesis : ( 1 ) chinese non - english - majored efl learners showed multiple perceptual learning modalities, which was the similar tendency with those in traditional classroom ; ( 2 ) although there was a slight decrease of the means of six instructional learning styles, there was no statistically change of the visual, tactile, kinesthetic, individual and group learning ; ( 3 ) however, there was a significant negative shift on auditory learning style of chinese non - english - majored efl learners, which was contrary to the originally hypothesis ; ( 4 ) after being analyzed as a moderator variable, gender played a significant part in the choice of instructional learning styles among chinese non - english - majored efl learners ; ( 5 ) within the group of female or male learners, it produced significant change in auditory, kinesthetic and group learning in female students while there was no significant change of all the six learning styles in male students

    而長期以來，研究者都是從理論的角度，對學習方式和計算機輔助教學進行研究，從實證角度的研究乏善可陳，基於此，本文運用定量研究的方法，著眼于調查研究計算機輔助教學對大學英語學生學習方式影響.本文以重慶大學來自8個專業的353名學生為研究對象，根據他們接受計算機輔助教學的時間長短分為三個組，進行問卷調查，對數據進行整理和分析，得出以下結論：大學英語學生傾向于多種學習方式；在六種學習方式中，有五種學習方式並沒有隨著在計算機輔助教學的環境而呈現顯著的變化；但在聽覺型學習方式上，出現了下降；從對性別的比較中，男生和女生在幾種學習方式上具有顯著的差別;而計算機輔助教學環境對男生學習方式沒有明顯的作用，卻對女生的聽覺型，體驗型和小組型學習方式有顯著影響。
  7. It also includes three aspects : ( 1 ) can decrease the strength of the structure surface ; ( 2 ) can increase the weight of the land slope ; ( 3 ) the dynamic hydraulic pressure can decrease the stability of the land slope. the third, the analysis of the relationship between rainfall and the displacement of land slope. by means of studying on landslide kafang, gejiu and dahongshan, xinping with plenty of observed data about the rainfall and the displacement, the thesis analyzed the regularity of landslide

    通過對國內外邊坡工程的穩定性分析的資料學習研究和兩個滑坡的工程實例的研究，闡述了： （ 1 ）邊坡工程研究領域中穩定性分析的主要方法，並根據計算過程和結果，提出穩定性分析的一些改進的建議； （ 2 ）降雨對邊坡穩定性的影響，主要是三個方面：一是軟化結構面的強度，二是增加滑體的自重，三是動水壓力降低滑坡穩定性； （ 3 ）降雨與滑坡變形的關系分析，通過多次的變形觀測資料和降雨資料，研究滑坡變形的規律性。
  8. In view of this, think in person : in the teaching on chemistry in high school, to students " body and mind developing stage, individual character, type, using relevant attribution theory, through appropriate, systematic training on attribution, adjusting and optimizing attributive mode can make student realize what is good or bad influence towards their study and understand that the key to determine the achievement of the study is how hard they work, carry on rational, favorable attribution, learn to adjust themselves, improve self - consciousness, can evaluate oneself, face one ' s own shortcoming, learn oneself how to regulate, maintain the psychological health state, remain enough self - confidence, strengthen will quality, so that the students can face various kinds of difficulty that they meet during the course of learning, excite latent energy to overcome the difficulty and surmount oneself constantly

    基於此，本人認為：在高中化學教學工作中，針對學生的身心發展階段、個性特點、歸因類型，運用相關的動機歸因理論，通過恰當的、系統的歸因訓練，調整、優化學生的歸因模式，可使學生對影響學業成就優劣的因素有正確的認識，明確努力程度才是決定學業成就高低的關鍵，進行合理、有利的歸因，形成對后繼學習有利的內部、外部動機，提高自我意識，能較全面地評價自己，正視自己的缺點，學會自我調節，維護心理健康狀態，始終保持足夠的自信心，增強意志品質，從而能夠正視學習中遇到的各種困難，並激發起戰勝困難、不斷超越自己的潛能。
  9. [ the summary ] it means that the student uses certain media under the circumstances that teacher " s guide or the information announce to study - on one " s own, probe into on one " s own initiative, positive cooperation, study activity of the surmounting nature

    自主學習是指學生在教師指導或信息揭示下運用一定的媒體，主動探究、積極合作、超越性的學習活動。自主學習包括自主確定學習目標、自主選擇學習材料、自主選擇學習方式方法、自主確定學習進度、自主檢測和評定學習結果、自主補漏和矯正。
  10. 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。
  11. In this paper, to resolve the coupling phenomena between temperature and humidity in wood drying system, a bp neural network based pid controller is proposed and applied to wood drying system. the architecture and learning algorithm of the proposed controller is more simpler and the physical meanings of the input layer ' s neurons and output layer ' s neurons are explicit. based on predefined control rules and self - learning, the bp network changs the scaling integral and differential parameters, therefore is able to control the variants using classical pid control algorithms and at the same time, decoupling control is implemented as well during the control procedure

    本文針對木材幹燥過程中溫、濕度耦合的現象，提出一種將新的基於bp神經網路的pid控制器應用於木材幹燥控制系統的方案，其結構和學習演算法相對簡單，輸入層和輸出層神經元物理意義明確；它根據設定的某一控制規律，通過網路的自學習，調整pid控制器的比例、積分和微分參數，從而利用經典的pid控制演算法得到相應各變量的控制量參與控制，並在該過程中實現解耦控制，而不用給定樣本信號進行在線的學習。
  12. 2. based on the original bp network, some improvement on error back propagation arithmetic is made. the executing speed of the algorithm is increased through online adjustment of learning rate. combined with traditional pid control, this method generated two integral schemes : bp network + pid serial control and self - confirming control of parameters of pid controller based on bp network are constructed

    在原有的誤差反向傳播（ bp ）網路的基礎上，對其學習演算法進行了改進，通過在線調節學習速率，提高了演算法的實現速度，並且與傳統的比例積分微分（ pid ）控制方法進行結合，分別實現了兩種集成方法： bp網路與pid串列控制方法和基於bp網路的pid參數自整定控制方法。
  13. It involves self - paced learning, either cd - rom - based, network - based, intranet - based or internet - based

    它包括基於光盤，網路，企業內部網，或網際網路的自定進度學習。
  14. 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。
  15. In terms of drill and practice, self - paced computer - assisted instruction enables the student to advance rapidly - without being limited by the conflicting needs of the entire class

    就訓練和練習來說，藉助于計算機的自行規定速度的方法能使學生突飛猛進，不受全班學生互有矛盾需要的限制。
  16. Through the study we find : the processive learning assessment is especially useful in leading and facilitating students to grasp learning method ; it is reliable to use rubric, which should be design according to specific learning content, to carry through the processive learning assessment on the whole ; the processive learning assessment including the assessing content such as knowledge and skill, process and method, sensibility, attitude and view of value, adapts to use self - assessment relatively ; in order to assure the reliability of assessing each other, we should keep the learning teams consistent with the assessing teams ; teachers are not proper to assess their students " sensibility, attitude and view of value which is internal ; research on the design of learning journal should be reinforced, and we should decide whether to adopt it according to the degree of mature of the students and the characteristic of assessing content ; it is capable for teachers to make qualitative assessment on student ' s learning process ; parents assessment does n ' t adapt to use qualitative method completely ; the improper work - dividing of assessors and the occasion of assessment will influence the operation of assessment ; when deciding to explain and utilize the assessing result, we should differentiate two kinds of the processive learning assessment strictly

    研究發現：過程性學習評價對于導向與促進學生掌握學習方法特別有用；使用評價量表進行過程性學習評價基本可靠，其設計要以每個具體的學習內容為依據；包括知識技能、過程方法、情感態度價值觀等評價內容的過程性學習評價比較適合採取自評；為了保證互評的可靠性，要保持學習小組與評價小組的一致；教師不適宜評價學生的情感態度價值觀這一類內在的內容；學習日誌的研究設計有待加強，並且要根據學生的成熟程度和評價內容的特點決定是否採用；教師對學生的學習過程給予質性評語基本可行；家長評價不適宜採取完全質性的評語方式；評價主體的分工以及評價的時機都會對評價的可操作性產生影響；在決定評價結果的解釋與利用時要嚴格區分兩種類型的過程性學習評價。
  17. This self - paced element is one of the things that makes e - learning so effective

    自定進度要素是讓電子學習變得如此有效的原因之一。
  18. The vertical one is divided into three phases : low self - direction, intermediate self - direction and high self - direction. the horizontal one comprises six elements : self analyzing, learning objectives definition, learning contents definition, learning environments establishment, learning strategies & methods selection and application, and self reflection and evaluation. in hope of giving some advice on how to improve college students " self - directed lea rning capacities and on how to help students to learn by self - direction in higher education, the author finally elaborates a phase - element table, which expresses the characterizations of college students " self - directed learning behaviors and the relative changes of teachers " role

    在此基礎上，縱向從「低度自我導向、中度自我導向、高度自我導向」三個階段，橫向從「自我特徵分析，學習目標制定，學習內容選擇與確定，學習環境選擇與創設，學習策略與方法選擇與應用，監控、反思與自我評價」六個要素對學生自我導向學習行為變化及教師策略進行描述、分析和總結，最終以「階段?要素」表的形式揭示在大學教學中，學生自我導向學習行為及教師策略變化特點，希望對如何提高大學生自我導向學習能力以及在高校教學中如何促進學生進行自我導向學習有所啟示。
  19. As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network

    由於神經網路具有自學習能力，它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計，使得對系統正向模型的辨識達到理想的逼近精度，然後在此正向模型的基礎上進行學習控制律的設計：即採用神經網路辨識非線性系統的正向模型，並消除系統不確定性和外部干擾的影響，使關節運動沿迭代軸方向逼近期望軌跡；迭代學習控制器在線學習控制參量，使關節運動沿時間軸方向跟蹤期望軌跡。
  20. The programmed course selects the next topic or phase of study according to previous responses from the student, allowing each student to process at a place directly related to his or her learning capability

    電腦中存有預先測定好的學習計畫，這些預先編制好的課程能夠根據學生回答情況選擇下一步學習的標題或階段，使每個學生以適合自己學習能力的速度進行學習。
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