適應學習 的英文怎麼說

中文拼音 [shìyīngxuéxí]
適應學習 英文
adaptive learning
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 適應 : suit; adapt; get with it; fit
  1. This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism

    摘要本文採用一種基於層次聚類的自適應學習策略，從系統反饋的信息流中，動態提取一類最優信息的質心更新用戶模型，有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲，並且能夠近似模仿人工反饋，完善自適應學習機制的智能性。
  2. 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。
  3. First, we introduce the trapezoid drop method based on cumulative error, and give a study way of adaptation

    我們首先簡單介紹基於累積誤差的梯形下降法，在此基礎上，給出了一種自適應學習速率的調整方案。
  4. Learning adaptability covers three aspects, namely, the adaptability of the learner ' s concept, of the academic environment and of the learner ' s learning method, in which inadaptability may often occur

    學習適應性包括三個層面，即學習觀念的適應、學習環境的適應、學習方式的適應。為了解決這些學習中的「不適應」 ，作者提出適應性學習策略的研究問題。
  5. To grasp the changing courses, we should standardize and unify the oral and written marking within the framework of scheme for the chinese phonetic alphabet to meet the demand for learning the chinese language

    要快速掌握連讀詞語的變調讀音，需在《漢語拼音方案》的框架內進行口語變調與書面標示變調的規范統一，以適應學習漢語的需求。
  6. Comparing to the classic pi control, the results of the simulations show that the proposed controller is effective. it has a robust dynamic performance with a strong capability of restraining unmodeled dynamics and bounded disturbances

    通過換流站控制的模擬實驗，與傳統的pi控制模擬結果相比較，這種新穎的換流站控制器更加符合實際，具有抑制系統未建模動態和有界擾動的能力，因此具有更強的魯棒性和自適應學習能力以及較好的動態性能。
  7. The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method

    本論文將增強式學習演算法和人工勢場法相結合，提出狀態評價函數和勢場的對應關系，以及控制策略和勢場力方向的對應關系，通過機器人的自適應學習，來形成優化的人工勢場，使機器人能夠以最短路徑繞過障礙，到達目標。
  8. In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely

    在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。
  9. Building a system of teacher education to meet the need of study - type society

    構建適應學習型社會需要的教師教育體系
  10. The question is how to choose the one best adapted to the needs of the learners

    如果教師想要編撰一本教材，他應該訂定那些教學標準以便適應學習群的特色呢？
  11. Far from being a waste of time, regular sports activities make students physically strong and deal with their study better

    經常性的體育運動使學生身體強壯，更好的適應學習，決不是浪費時間。
  12. This arithmetic overcome the demerit of single rule, and is better to simulate the studying function of the brain

    該演算法克服單準則的局限性，更好地模擬人腦的自適應學習功能，可以實現更有效的學習和識別。
  13. In the training process, the adaptive learning rate and error batch - mode process are introduced to accelerate the training rate

    在神經網路自學習過程中，引入了自適應學習速率和誤差批處理法，加快了學習速度。
  14. According to the observation data of rcc dam temperature, the thermal parameters were back calculated, and the results could meet the requirements of the project

    反演結果滿足工程需要。採用帶動量因子的自適應學習率bp演算法訓練網路，收斂性好。
  15. To note, the study of this paper on web - based self - adaptive learning is established on the foundation of fully respecting the objective individual difference reality

    本文對基於網路的自適應學習的研究是建立在充分尊重客觀存在的個體差異基礎之上的。
  16. In the face of the current situation, the thesis carries out theoretical and practical exploration and research on the web - based self - adaptive learning, respectively

    論文針對該現狀，對基於網路的自適應學習分別進行了理論與實踐兩個層次上的深入探索與研究。
  17. We first reconstruct, the background of scene from sequential input image, then subtract the background reconstructed from real - time input image

    本文首先根據輸入的實時圖像序列，進行自適應學習以重建出背景，在此基礎上將輸入的道路實時圖像和背景圖像進行差分運算。
  18. It has used to forecast the full - time teachers in higher educational institutions in zhejing province by grey model and the artificial neuron network. this paper has acquired the better calculation result based on the advanced bp algorithm

    文中運用人工神經網路的技術，採用改進自適應學習速率和動量項系數的bp演算法，對浙江省高等學校專任教師數進行有導師的訓練和預測。
  19. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
  20. This method effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, and also imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism

    此外，選擇聚類擇優后的一類信息參與rocchio自適應學習與更新，能夠有效地削弱閾值偏見性和偽相關反饋排序偏見性造成的負面影響。
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