identification learning 中文意思是什麼

identification learning 解釋
辨別學習
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  • learning : n 學，學習；學問，學識；專門知識。 good at learning 善於學習。 a man of learning 學者。 New learn...
  1. In order to satisfy students ' needs of belongingness and identification, promote the quality of studying and learning and advance the reputation of school, it is very necessary to construct the virtual campus culture in modem distance education

    開展符合遠程教育特點的校園文化建設對于滿足學生的歸屬感和認同感、提高學校的社會影響力和吸引力、提高學校的管理水平和教學質量具有重要意義。
  2. Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering

    本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。
  3. The development of one - wire technique, fieldbus technique and gprs wireless communication technique propose a perfect way of realizing intelligent distribution and measurement. moreover, dai and agent theory provide powerful theoretical support to improve the system ' s ability of intelligent identification, intelligent learning and anti - noise

    單總線技術、現場總線技術以及gprs無線通訊技術的發展為智能分佈和測控功能的實現提供了一套令人滿意的解決方案，而分散式人工智慧技術和agent理論為提高系統的智能判別、學習和抗干擾能力提供了有力的理論依據。
  4. The feedback control is introduced to compensate effects of both errors of identification and iterative learning, so the control system can get better robustness and control precision

    在此引入反饋控制是為了補償辨識和迭代學習的誤差，以增強被控系統的魯棒性，提高控制精度。
  5. These relate to the identification of strategic direction and its implementation, the overall planning, budgeting and resource allocation processes and the mechanisms for feedback, self - learning, adjustment and control

    這些原則涉及下列范疇：確立及落實策略方向、總體規劃、預算程序、資源分配程序以及意見回饋、自我改進、調控等方面的機制。
  6. The conclusion is as follow : american language teaching doesn ' t accord with infant ' s body and mind developing and the teaching principle with the kindergarten ; at present, because of lacking professional teachers and the english teaching environment, it ' s hard to maintain superior teaching quality and effective learning ; too emphasize the " whole american language " overly, cause the crisis of infant ' s culture identification ; " whole american language " influences infant ' s express and thinking, leading the first grade of primary school students feel setback and obstacle

    而幼兒美語太過于強調全美語，造成幼兒對文化認同的危機，且全美語常使幼兒表達與思考能力大受影響，導致小生成學習挫折與障礙，由分析后的結論確認在幼兒期學習美語弊多於利，幼兒階段並不適合學習美語。
  7. This essay first dicussed the key steps of preprocessing in web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. especialy we proposed the algorithm of the web log data preprocessing include frame page. and secondly we discussed the technology of building an adaptive web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc. ; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on

    本論文首先討論了web日誌挖掘預處理中的各步驟：數據抽象、數據清洗、用戶與會話識別、訪問路徑補全，給出了每一步驟的演算法實現；並特別討論了含有frame頁的日誌數據預處理過濾演算法。其次討論了構建自適應站點技術，包括日誌數據聚類挖掘、用戶訪問模式學習、站點結構轉化與呈現等；提出了單用戶日誌訪問模型，給出了用戶模型在線學習演算法、索引頁面綜合演算法、站點結構轉化及呈現演算法等。
  8. Friendships with peers, family ties and love from boyfriends or girlfriends all affect teenagers emotionally, but peer friendships are most valued by youngsters. for young people who are just learning how to think independently and make their own judgments, responses from and identification with their peers are their major sources of confirmation and encouragement

    感情包括友情親情與愛情，其中最受到青少年重視的是友情，因為對于這一群才開始學習獨立思考與自主判斷的小大人而言，來自同儕團體的反應與認同，是他們獲得肯定和鼓勵的最大來源。
  9. Graphical symbols. identification of services and products open to all persons with difficulties in spatio - temporal location and in reading learning. welcoming, help assistant and accessibility symbol

    圖形符號.對空間選址和閱讀學習有困難的所有人開放的服務和產品的標識.表示歡迎提供幫助和可接近性的符號
  10. Graphical symbols - identification of services and products open to all persons with difficulties in spatio - temporal location and in reading learning - welcoming, help assistant and accessibility symbol

    圖形符號.向在時空定位和閱讀學習中存在困難的所有人所提供的服務和產品的識別.表示歡迎提供幫助和可接近性的符號
  11. And at the base of common coins identification, online learning function is increased. the scheme can be used in bus coin, box project and retailing, coin - telephone etc., has extensive market demand

    由於系統具備硬幣學習功能，因此還可以推廣至其它國家，進行其它貨幣體制下的硬幣的辨識和鑒別，具有廣泛的市場需求。
  12. In other words, the study of the history of academic studies should not be emphasized on the philosophical and ideological consideration but on the evolution and identification from the angle of scientific development, namely, on the account of the development and construction of a certain subject in terms of knowledge increase ( " learning " ) and methodology ( " technique " ), which, undoubtedly, bears this and that relationship to the history of culture, politics, society and economy, and from which we are to see how the scholars of 17th, 18th and 19th centuries shuttled back and forth in the historical environment composed of the imperial count, schools, governments and financial supporters. these changes have surely reflected the alterations of the scholars, value orientation and knowledge system

    換言之，學術史的主要研究不應是哲學或思想的思辯，而是從學科發展的角度來衡量其是非價值，也即是從知識增長（ 「學」 ）和方法論（ 「術」 ）的角度來描述某一學科的發展與建設? ?它無疑與文化史、政治史、社會史或經濟史有這樣或那樣的聯系，而我們也正好將要看到， 17 、 18 、 19世紀的學者是如何在朝廷、書院、幕府與經濟贊助人所組成的歷史環境中穿梭的? ?這種變化真實地反映了學者的價值取向與知識系統的變化。
  13. Artificial neural networks have mighty learning ability. after being properly trained, the multiplayer networks are capable of approximating any nonlinear functions with any precision. therefore it has become a powerful tool in nonlinear system identification field

    人工神經網路具有很強的學習能力，經過訓練的多層神經網路能以任意精度逼近非線性函數，因此為非線性系統辨識提供了一個強有力的工具。
  14. 1 tejada s, knoblock c a, minton s. learning domain - independent string transformation weights for high accuracy object identification

    針對這樣的商品名字採用基於字元或者基於向量空間的相似度計算不是一個好的方法。
  15. The training wing has found that many of the unodc e - learning modules, such as those on " drug identification ", " car search " and " money laundering ", will be useful not only for anti - drug operations but also anti - crime operations in general

    訓練部經研究后，發覺該等課程中，有很多課程，例如有關確定毒品種類、搜查車輛技巧、搜身技巧、洗黑錢等，不獨有助反毒工作，亦適用於一般反罪惡行動。
  16. 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。
  17. A two - phase study was designed to explore the identification, classification, and application of learning strategies

    本研究設計為兩階段，以探討學習策略的辨識、分類和應用。
  18. The dissertation first establishes the framework of coupling km with npd talents management. by analyzing the three possible relation modes between km and npd talents management, the coupling relationship is justified. according to actor - network theory, the dissertation offers an evolution model of enterprise ' s npd capability and a process model for coupling km with npd talents management oriented to competitive advantage, based on which the key coupling domains ( kcds ), namingly knowledge structure and identification, organizational integration of knowledge, knowledge sharing, internal and external learning of knowledge, are targeted

    論文首先構建了知識管理與產品開發人才管理的耦合體系，主要是：分析了知識管理與產品開發人才管理的三種可能的關系模式，明確了知識管理與產品開發人才管理的耦合關系；給出了基於參與者網路理論的企業產品開發能力的演化模型，提出了面向競爭優勢要求的知識管理與產品開發人才管理的耦合過程模式，確定了知識管理與產品開發人才管理的關鍵耦合域：知識的結構及識別、知識的組織整合、知識共享、知識的內部學習和外部學習。
  19. The characteristic of method is, in every process of iterative learning, after obtaining better approaching precision of network training for model identification iteratively, the feed - forward action of iterative learning control law for the next trail is constructed by output signals of the neural network, and then integrated with feedback control to track the desired trajectory of robot in real time

    該方法的特點是，在每一次迭代學習過程中，使神經網路訓練到對模型的辨識達到比較好的逼近精度后，利用神經元網路的輸出構造下一次迭代學習過程中控制律的前饋部分，再將它與實時反饋控制結合，形成本文提出的魯棒迭代學習控制演算法，並對機器人系統進行控制。
  20. By applying the good learning and parameters adjustment capabilities of fuzzy wavelet neural network, this method can make the constructed identification system and controller have better approximate dynamic system characteristic and optimal control effect

    該方法利用模糊小波網路良好的學習和參數自調整能力，因而使建立的系統辨識器及控制器能夠很好地近似系統動態特性，逼近最佳控制效果。
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