識別學習 的英文怎麼說

中文拼音 [zhìbiéxuéxí]
識別學習 英文
identification learning
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Immune evolutionary algorithms are optimal algorithms in essence, therefore, they can be used in some fields, such as cybernation, pattern recognition, optimal design, meshing learning, network security, etc. there are also some examples of these attempts described in this paper

    免疫進化計算在本質上講是一種優化演算法，所以它們可以應用於一些諸如自動控制、故障診斷、模式分類、圖象識別、優化設計、機器學習和網路安全性等廣泛領域，本文在這方面也做了一些初步的嘗試。
  2. On the basis of theories of discriminational skill, physical model and learning strategy and the requirement to identify and found physical model correctly and use the method of physical model proficiently, this paper discusses the discriminational skill of students theoretically when they learn establish physical model. based on the theory of the method of physical model and the theory of the knowledge about strategy, it illuminates the essentiality of training students the discriminational skill theoretically when they learn establishing physical model and the feasibility of teaching students correlative knowledge about strategy, it bring forwards the actualizing principle. teaching model, steps, several frondose strategies and things we should pay attention to. in teaching experiment, it studies and compares the traditional teaching of establishing physical model with the method in this paper. finally, it summarizes the effects and brings forward correlative teaching advises

    本文在辨別技能、物理模型和策略學習等理論的基礎上，並根據在解決物理問題時正確識別、建立物理模型、熟練使用模型方法是學生應該具備的基本物理素質的要求，對物理建模學習中學生的辨別技能作了理論探討，闡明了在物理建模教學中培養學生辨別技能的重要性和對學生的建模學習中相關的策略性知識的教學的可行性，提出了物理建模教學中培養學生辨別技能的實施原則、教學模型、步驟和幾個具體的策略以及注意事項，然後進行教學實驗，將傳統的建模教學和本文中的建模教學進行對比研究，最後總結了其效果，提出了相應的教學建議。
  3. Run into some troublesome matters this several days, i have a class at school, having a female to always stare at me, in view of the fact at new school, i and this persons are all incognizant, having never talked, having a class to still class dismiss regardless, i a with the other people talk her to see me, she sits on my right - hand side in front, at the time that i had a class, in order to wanting to attend lecture, so want to see a blackboard, once i see a blackboard, she thinks i see her, turn head to see me always, make me attend lecture all have a little listen to not to descend go to, don ' t knowing should shouldn ' t see a blackboard, but i want to study me and attend lecture

    這幾天，碰見一些麻煩事，我在學校上課，有一個女的總是盯著我，由於是在新學校，我和這個人都不認識，從來沒說過話，無論上課還是下課，我一和別人說話她就看我，她就坐在我的右前方，我上課的時候，由於要聽講，所以要看黑板，我一看黑板，她就以為我看她，老是回頭看我，弄得我聽講都有點聽不下去了，不知應不應該看黑板，可是我要學習我要聽講啊！
  4. 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。
  5. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  6. According to the investigation to the process of motor skill obtained and the investigation of motor skill " difficulty degree ", motor skill is partitioned as able and unable motor skill with obvious difference 、 osculant motor skill and able and unable motor skill with blurry difference, which establish the academic base to further research the process of motor learning and choose rational teaching methods

    以體育教學過程中運動技能的習得過程為依據，通過對運動技能「會能度」的調查，重新將運動技能劃分為「會與不會有明顯區別的運動技能」 、 「中間型的運動技能」和「會與不會沒有明顯區別的運動技能」三種，這個分類的思想和視角會為進一步認識運動技能的學習過程和根據運動特點優選教法奠定新的理論基礎。
  7. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  8. A novel learning algorithm for synergetic pattern recognition

    一種新的協同模式識別學習演算法
  9. What exam of grade of numerical control machine wants to see you learn is which kind of machine, numerical control machine includes numerical control car specificly, mill, auger, grind, machining center is waited a moment, you need study machine of the system to add knowledge, be familiar with a machine tool, return practice of the machine on need, the most important is the person guidance that need knows, self - study is very difficult, the knowledge on book needs to combine practice a little, the proposal has gone ability school learns a few the basiccest knowledge ( 2 to 3 years ), there can be relevant grade letter after ability school graduates next ( from primary labour, intermediate class, senior worker worker, technician, senior technician, hind two kinds obtain the hardest, want knowledge not only even relevant experience, its wage scale is equal at the engineer, chief engineer one kind ) remain be about to rely on oneself to get

    數控機等級考試要看你學的是哪一類機器，數控機器具體的包括數控車，銑，鉆，磨，加工中心等等，你需要系統的學習機加知識，熟悉機床，還需要上機實踐，最重要的是需要懂的人指導，自學很難，書本上的知識有些是需要結合實踐的，建議去好一點技校學習一些最基本的知識（ 2到3年） ，然後技校畢業后會有相關的等級證書（從初級工，中級工，高級工，技師，高級技師，后兩種最難取得，不僅要知識還要相關經驗，其待遇級別等同於工程師，總工程師一類）剩下的就要靠自己鉆了。
  10. One class classification is a machine learning approach different from the traditional pattern recognition approach where two or more class samples are required. however in some real - life cases, we can hardly, even not, get the samples of some classes, or have to pay costly price to obtain the so - needed samples, such as in the case of machinery malfunction. and while in other cases, the sizes of samples among classes are imbalance, such as medical diagnosis

    單類分類器是不同於傳統模式識別的一種機器學習方法，傳統模式識別方法一般需要多個類別的樣本（至少兩個） ，而在有些場合中，幾乎無法獲取多類的樣本，或者獲取其樣本所需花費的代價非常高，比如：機器故障中我們不可能為了去獲得故障樣本而讓機器特意產生故障；又有些場合的類別樣本個數嚴重不平衡，比如醫學上的疾病特徵與非疾病特徵的比例是嚴重不平衡的。
  11. This research deeply reflects the students in senior one whose chemical self - efficiency sense current situation and attribution inclination in chemical study, the characteristic and specific situation formation ( the background, precondition ), to carry on students " attribution training during chemical teaching in view of the above ; combining group coach with specific training, facing all students and choose the typical individual to track at the same tune, and to accumulate cases ; giving full play to students " conscious activity through writing diary by reflective thinking or brief summary on learning and setting up chemistry learning file, etc to strengthen one " s own consciousness, learn to regulate oneself ; to evaluate the effect of attribution training, that is, chemistry - learning efficiency, the author actively try combining subjective evaluation with objective evaluation, teachers " evaluation with students " own

    本研究較深入地了解到高一學生對化學學習的自我效能感現狀，高一學生在化學學習中的歸因傾向、特點及其形成的特定情境（背景、前提條件） ，並據此在化學學科教學中對學生進行心理歸因訓練;採用團體輔導與個別訓練相結合，面向全體學生同時選擇典型個體進行追蹤，積累案例材料;充分發揮學生主體的主觀能動性，通過寫反思日記或學習小結、建立化學學習檔案等方法，強化自我反思意識，學會自我調節:積極嘗試主觀評價與客觀評價、教師評價與學生自我評價相結合的方式，對歸因訓練效果即化學學習效能進行了評價。
  12. Assessment services identify hearing, speech and learning / behaviour problems among school - age children so that appropriate follow - up action can be taken and remedial treatment given before the problems develop into handicaps

    政府提供的評估服務，可以識別學齡兒童在聽覺、言語、學習或行為上是否有問題，並在問題發展成障礙之前及時跟進，提供矯正治療。
  13. New dimensions is a seven - level starter and levels 1 - 6 series of course books designed to teach phonics, language arts, reading, writing, and spelling to elementary children learning english as a foreign language

    本系列提供孩子字母認識辨別書寫及自然發音的導入，子母音的學習，辨音與拼音的練習。並特別培養及訓練孩子在閱讀方面的能力，並提供入門寫作的練習。
  14. By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built, svm presents a lot of advantages for resolving the small samples, nonlinear and high dimensional pattern recognition, as well as other machine - learning problems such as function fitting

    Svm的基本思想是通過非線性變換將輸入空間變換到一個高維空間，然後在這個新的空間中求取最優分類超平面。它在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢，並能夠推廣應用到函數擬合等其他機器學習問題中。
  15. We have developed a semantic retrieval system on computer network field and expected to provide a intelligent learning resource retrival service. this system tries to solve problems that ordinary systems cannot do, such as identify synonyms, relative retrieval

    該系統以計算機網路領域的知識和學習資源為檢索對象，嘗試解決查詢中同義詞無法識別，相關信息查找困難等問題。
  16. Games provide an ideal setting to explore important elements of the design of cleverer machines, such as pattern recognition, learning and planning

    游戲提供了一個探究智能機器設計的重要元素的理想框架，例如模型識別，學習以及計劃編制。
  17. The forthright discussion of ideas, the constructive work in teams, the courage to challenge the emptiness of irrelevance, the excitement of touching the unknown, the capacity to identify, question and develop a new concept, and the ability to look at the world as an always changing phenomenon, are actions that we consciously place at the center of our professional lives

    本學院鼓勵著意讓學生在學習專業知識過程中，直陳己見率地討論意見，在小組中積極參與小分組學習合作，勇於接受挑戰，且享受探索未新知識的樂趣刺激，培養批判能力使其有能力識別，學會分析問題並提出新觀點質疑並演發新概念，明白知道世界瞬息萬變正不斷地改變。
  18. Pattern recognition with fuzzy central clustering algorithms

    模糊中心聚類的模式識別學習方法
  19. The radio detection trainer can use the following three training methods as single. machine training mode, network training mode and radio detection knowledge to perform radio detection individual soldier training, radio detection network military exercises and radio detection knowledge learning

    無線電監測人員可採用單機模式下技偵業務訓練虛擬現實、網路模式下技偵業務訓練虛擬現實和無線電監測知識等三種訓練方法，分別進行無線電監測單兵訓練、無線電監測網上演習和無線電監測知識的學習。
  20. Assessment services identify hearing, speech and learningbehaviour problems among school - age children so that appropriate follow - up action can be taken and remedial treatment given before the problems develop into handicaps

    政府提供的評估服務，可以識別學齡兒童在聽覺、言語、學習或行為上是否有問題，並在問題發展成障礙之前及時予以跟進，提供矯正治療。
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