系列學習法 的英文怎麼說

中文拼音 [xìlièxuéxífǎ]
系列學習法 英文
serial learning method
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 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...
  • 系列 : succession; series; bank; set; set family; train
  1. The term “ complementary and alternative medicine ” ( cam ) encompasses a wide array of health care practices, products, and therapies that are distinct from practices, products, and therapies used in “ conventional ” or “ allopathic ” medicine

    術語「補充和替代醫學」 （ cam ）包括一系列廣泛的衛生保健練習、產品和治療法等，它們和「常規的」或「對抗療法」醫學（現代醫學）的實踐、產品和療法有顯著的差異。
  2. Nccam describes whole medical systems as involving “ complete systems of theory and practice that have evolved independently from or parallel to allopathic ( conventional ) medicine. ” 16 these may reflect individual cultural systems, such as traditional chinese medicine and ayurvedic medicine

    術語「補充和替代醫學」 （ cam ）包括一系列廣泛的衛生保健練習、產品和治療法等，它們和「常規的」或「對抗療法」醫學（現代醫學）的實踐、產品和療法有顯著的差異。
  3. A double - bagging machine - learning algorithm was used to train classification rules on the basis of a combination of fdt scores and nerve fiber related visual field losses in swap

    在聯合fdt評分和swap神經纖維相關的視野缺損基礎上用雙相機器學習系統排列分類法則。
  4. The network has the ability of learning, it can only be inputted a series of examples ( samples ), and then the network can acquire the control relation of the data from the samples

    Bp網路具有學習的能力，只要輸入一系列例子（樣本） ，網路就能從這些例子中獲得訓練數據庫中所具有的控制關系。根據bp演算法，繪出bp演算法的流程圖，解釋bp網路的特點。
  5. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  6. We also prove the following properties : the stable states of the network in the same sh orbit have a same dynamical behavior, such as the size of attraction basin and the energy ; the relation of the symmetry of two isometric networks h and h ' = g - h is s ' h = g - sh - g ~ } for any isometry g, where sh and s ' h are the symmetry of h and h " respectively ; the isometry will not change the dynamical properties of the stable states set of the corresponding networks ; etc.

    ） g的對稱性s _ h和s _ n的關系為s _ h = g ? s _ h ? g ~ （ - 1 ） ；等距變換不會改變網路穩定態集的動力學性質等一系列的結論。所有這些研究結果表明了hebb學習法則是通過調整網路的連接矩陣，使得其的結構的對稱性包含存儲樣本集的對稱性這一存儲機理。
  7. Many diverse interests are met and the rich potential of the children is stimulated by a series of instructional, lively and widely varying programs, scheduled for different seasons of the year. participation has been high in these group activities which include tang poetry recital, english lessons, painting, pottery, dancing, calligraphy, and chinese macrame making. every group meditation session provides a wonderful, happy evening for the children

    配合小朋友的興趣和內在的豐富潛能，我們設計了一系列符合小朋友學習的課程，每季不同，內容生動活潑多樣性，有唐詩朗誦兒童美語美勞陶藝舞蹈書法中國結團康活動等等，小朋友參與非常踴躍，在學習中獲得無限樂趣，使每次的共修日變成小朋友極美麗的夜晚。
  8. Aim at the dtc ' s blemish mentioned above and the direction of dtc technique development, the dissertation put great emphasis on the work as follows, with an eye to exalt dtc system function : ( 1 ) a new speed - flux observer of an induction motor is proposed to enhance the accuracy of flux observing, which is an adaptive closed - loop flux observer and different from the traditions. a new adaptive speed - observation - way is deduced out according to the popov ' s stability theories ; ( 2 ) to improve the performance of dtc at low speed operation, we have to exalt the accuracy of the stator flux estimation and a new way of bp neural network based on extended pidbp algorithm is given to estimate and tune the stator resistance of an induction motor to increase the accuracy of the stator flux estimation ; ( 3 ) digital signal processor is adopted to realize digital control. an device of direct torque control system is designed for experiment using tms320lf2407 chip produced by ti company ; ( 4 ) bring up a distributed direct torque control system based on sercos bus, sercos stand for serial real time communication system agreement which is most in keeping with synchronous with moderate motor control ; ( 5 ) the basic design frame of the hardware and software of the whole control system is given here and some concrete problem in the experiments is described here in detail

    針對上面提到的直接轉矩控制的缺陷和未來直接轉矩控制技術發展方向，本論文重點做了以下幾個方面的工作，目的在於提高dtc系統的綜合性能： （ 1 ）提出一種新型的速度磁鏈觀測器，新型的速度磁鏈觀測器採用自適應閉環磁鏈觀測器代替傳統的積分器從而提高磁鏈觀測的精度，並且根據popov超穩定性理論推導出轉速的新型自適應收斂律； （ 2 ）改善系統的低速運行性能，主要從提高低速時對定子磁鏈的估計精度入手，提出了一種提高定子磁鏈觀測精度的新思路? ?利用基於bp網路增廣pidbp學習演算法來實時在線地修正定子電阻參數； （ 3 ）採用數字信號處理器dsp實現系統全數字化硬體控制，結合ti公司生產的tms320lf2407晶元，設計了直接轉矩控制系統的實驗裝置； （ 4 ）提出了基於sercos總線網路化分散式的直接轉矩控制系統， sercos （ serialrealtimecommunicationsystem ）是目前最適合同步和協調控制的串列實時通信協議； （ 5 ）基本勾勒出整個控制系統的硬體和軟體設計基本框架，詳細描述一些實驗中的具體的細節問題。
  9. In this approach, the concentration and development trend of gases dissolved in transformer oil are predicted primarily using gm ( 1, 1 ) model, and then the predicted results are calibrated by self - learning bp - neural networks with calibrated parameters obtained by analyzing the interaction of different types of gases and the relationship between the time sequences of gas concentrations

    此法是利用gm （ 1 ， 1 ）模型初步預測油中溶解氣體的濃度及變化趨勢，通過分析故障氣體組分之間的影響及氣體濃度時間序列之間的關系確定修正參數，將初步預測結果與修正參數作為自學習bp網路的輸入，從而完成預測結果的在線修正。
  10. How to maintain a good relation with professional channels ? the thesis discusses above issue from several aspects. firstly, the definition and character of mass - decentr alized communication and the reflection of composite channels " development by charts and figures ; secondly, the reasons why composite channels are still a main part of media market, outlining the causes from three hands : the character of chinese audience, the present situation of chinese channels, mainly in the ability of producing programs and the models of some foreign channels excelling in producing marketing and so on ; thirdly, the strategy of composite channels " development, including the choice of programs, the arrangement of channel structure and the marketing strategy of famous - brand in the composite channels

    全文主要從三個角度對綜合頻道的發展進行闡述：第一部分，概括了分眾化傳播時代的特點和實質以及用圖表、相關數據結合理論分析近年來1 ，國頻道發展過程中出現的一系列的問題:即電視劇仍是各頻道播出節目的主體、一}了日1司質化傾向嚴重、頻道資源的優化組合問題啞待解決以及頻道劃分不夠科學和合理，頻道定位不明確;第二部分，從中國電視受眾的實際情況（包括受眾的年齡、性別、教育程度、家庭收入、觀眾的收視行為、文化產品的消費習慣、思維習慣和收視心理） 、中國的媒介大環境（主要是節目製作能力） 、國外的傳媒環境（側重於abc7頻道和法國電視二臺的經驗分析）三個方一面闡釋綜合頻道仍能繼續發展、大有作為的原因;第三部分，也是全文最重要的部分?中國綜合頻道的發展，錢略。
  11. 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。
  12. Part two : organizing strategy of cooperative learning in implementation of new mathematical curriculum this part analyzes the problem in the process of implementing of cooperative learning in new mathematical curriculum by observing in classroom and studying case. six problems is : ( 1 ) the group activity stay on the formal, and lack the material cooperation ( 2 ) individual duty diffuse, " take a ride " phenomenon have the occurrence ; ( 3 ) student social intercourse technical lack. ( 4 ) no change in teacher ' s role, lacking guidance to student ; ? ividing group difficultly for big class formation, fulling of too much noisy in classroom ; ? valuation system is not well, group cooperation exist in name only, provides six suggestions for these problems : ( 1 ) dividing group scientificly and vividly ; ( 2 ) leading student active cooperative learning ; ( 3 ) increasing the individual duty ; ( 4 ) cultivating students " cooperative method and social intercours technical ; ( 5 ) enhancing management in classroom ; ( 6 ) handling a few relations rightly ; finally, puts forward the principle and program of orgnizing cooperative learning in new mathematical curriculum

    二、新數學課程實施中合作學習的組織策略本部分在對實驗區數學課堂觀察和個案研究的基礎上，分析得出了新數學課程實施中合作學習存在的6個問題：小組活動留于形式，缺乏實質性合作；個體責任擴散， 「搭車」現象時有發生；學生社交技能欠缺，合作效率低下；教師對自己角色轉變認識不清，指導作用沒有跟上；大班額分組困難，課堂過于喧嘩混亂；評價體系沒有跟上，小組合作名存實亡。針對這些問題，對新數學課程實施中開展合作學習提出了6方面建議：科學靈活地分組；引導學生主動合作學習；提高個體責任：重視對學生合作方法、社交技能的培養；加強合作學習中課堂管理；正確處理幾對關系。最後提出了新數學課程實施中合作學習的組織的原則和組織序列。
  13. Abstract : in lenin ' s view, at the crucial historical moment, the most important task is to study. the principle and method of study is to inculcate. it has been proved by the history that inculation is a scientific and practical principle. our party must stick to it and adjust it to the development of our times. in the process of study, we must take a correct attitude and establish a suitable atmosphere ， that is, to integrate theory with practice

    文摘:列寧認為在一個重大歷史關頭，最重要的任務就是學習；學習的原則和方法就是灌輸，歷史已經證明灌輸是科學的、行之有效的原則和方法，我黨必須始終堅持它並隨著時代的發展而發展它；在學習中一定要端正學習態度，樹立正確學風，即理論聯系實際。
  14. Learning strategies are a series of conscious measures to develop the efficiency and good results

    學習策略是對學習者而言的一系列有意識提高學習效率和效果的方法。
  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. To provide sharing platform for welfare and academic sector to develop evidence - based best practice, enhance support network, service quality and accountability among agencies, best practice forums were organized to promote experience exchange and development of best practices, including " partnership practice on enhancing family community solidarity ", " social inclusion practice on fostering social integration of ethnic minorities ", " forum on social inclusion ", " good practice sharing on youth employment ", " substance abuse prevention service vocational training service " etc. besides, a network of elder learning was set up to facilitate sharing of resources and experiences

    我們推出一系列優質服務分享會，推動界內交流服務經驗及鼓勵優質服務的發展和實踐，包括夥伴合作工作手法強化家庭及社區凝聚力、社會融和工作手法促進少數族裔人士共融、在現實中追求理想共建融和社會、青少年就業服務、防治藥物濫用服務-職業訓練服務等，我們又建立長者學習的網路，促進資源及經驗分享。
  17. Because of their individual math ' s viewpoint and math ' s education viewpoint, math ' s teachers have different answers to the questions such as " what is basic goal of math ' s education ", " what is the social responsibility of math ' s education " and " what sort of math ' s should be taught to students, etc. so, in this paper, we put forward some specific suggestions

    應使學生學習怎樣的數學? 」等一系列問題的不同認識下所進行的教育教學過程所產生的結果。為此，我們提出了解決這一問題的一些具體建議，那就是，首先必須使學生對數學有一個正確的認識，在此基礎上，通過教師等各方面的努力，使學生在學習動力、數學情感、學習方法等方面得到較大的改善。
  18. All the urban logistics requirements are forecasted by the method of time sequence deduce and muti - factors stepwise linearity regression, including volume of freight, configuration of goods, organize volume of freight, distributable volume of freight and its distributing. according to all the forecast result and other conditions, such as transportation and so on, the layout of beijing distribution parks are made certain, and the scale of each distribution park is calculated in use of space - time consume method. at last, a suitable investment, construction and operation system of beijing distribution park is advised on the reference of developed country experiences

    在對物流節點的概念、功能、作用、分類、層次總結和概括的基礎上，結合物流的發展趨勢和大中城市的實際，分析了規劃物流園區的必要性；提出了城市物流需求預測技術路線后，運用時間序列第推、多元逐步線性回歸等科學方法，對北京的貨運量、貨物結構、組織量和適站量、適站量的方向性等物流需求做了預測；學習借鑒國外物流園區選址的經驗，根據貨物適站量方向性預測、北京市的交通體系等實際情況，確定了北京物流園區布局；把不同方向特徵年貨物適站量合理的分配到相應的物流園區中，運用時空消耗法確定了各個物流園區的規模；在對每個物流園區逐一分析后，借鑒國外的經驗，提出了適合北京的物流園區投資、建設、運營機制。
  19. Thirdly, by introducing fuzzy theory into system evaluation, evaluating student, teaching, course resource, and function of whole system. fourthly, making use of learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. finally, on reasoning mechanism, combining means of two classes reasoning is taken

    第三，在系統評價中引入了模糊理論，對學生、教學、課程資源以及系統的整體功能進行了評價；第四，採用基於信息論的示例學習，改進了決策樹學習演算法，並建立了機器學習決策樹；第五，在推理機制上，採取兩級推理相結合的方法進行推理，即用基於語義網路的模糊推理確定教學序列，用基於產生式規則的推理確定教學方法，並給出了詳細的推理演算法。
  20. Serial learning method

    系列學習法
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