avoiding learning 中文意思是什麼

avoiding learning 解釋
規避性學習
  • avoiding : 迴避
  • 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. The results of exploratory and confirmatory factor analysis ( efa and cfa ) show that the construct validation of the scales is good. the five - factor model is consisted of neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness ; the goal orientation scale has three factors ? learning goal orientation, avoiding goal orientation, and proving goal orientation ; the transformational leadership scale has second - order factor structure and could be subdivided into four facets - idealized influence, inspirational motivation, intellectual stimulation, and individual consideration

    這說明中國管理人員的人格特質可以用大五人格理論來解釋;中國企業管理者特質目標定向具有三因素結構,即學習目標定向、迴避目標定向和證實目標定向;變革型領導理論基本適用於中國文化,並具有二階單因素結構,包括四個一階子因素? ?領導魅力、感召力、智力激發和個性化關懷。
  2. In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible

    在rsdm中,以實值模式代替二值模式,避免了實值到二值的編碼過程:以回歸學習規則代替外積法,使該模型在具有識別能力的同時具有了對函數的逼近能力;地址矩陣的預置根據樣本的分佈採取不同方法,若樣本均勻分佈,則隨機預置,否則利用遺傳演算法的原理和消減措施來預置地址矩陣,使之反映樣本的分佈,改善網路的性能。
  3. Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process

    模糊控制系統避開了數學模型,能很好適應公路隧道通風系統非線性和分散式參數特徵,但是模糊控制系統本身的學習和適應能力差,導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數(如交通量、基準排放量等)的改變而自動調整和修改等問題,本文將具有強大學習能力的神經網路融合到模糊控制系統中,研究和探討了隧道通風模糊神經控制方法。
  4. The book analyzes the difference of pronunciations between chinese and korean, helping korean students to know clearly and correct rapidly the mistakes in pronouncing chinese while avoiding rigidly memorizing the pronunciations of initial consonants or simple or compound vowels of chinese, laying a solid foundation for further learning

    本書通過分析漢韓兩種語言語音的差異,讓留學生明了自己的發音錯誤,並知道自己錯在哪裡,不必囫圇吞棗地死記一些聲韻母的發音,使他們快而順利地改正自己的發音錯誤,為說地道的漢語打下良好的基礎。
  5. The main goal of learning a language is to use it in communication, that is, to output language and input language, avoiding " dumb english "

    學習語言的目的在於運用於交際之中,既能輸入語言又要能輸出語言,避免「啞巴英語」的出現。
  6. To effectively control financial risks, we should realize the shift from risk avoiding prevention to risk management by setting up an early warning system of financial risk control, in the meanwhile, we also need to strengthen the monitoring of financial management, establish and perfect the check and supervision system and high - efficiency mechanism to ensure the sustainable development of institutions of higher learning

    要有效實施高校財務風險控制,我們必須建立財務風險預警控制系統,實現由風險規避防範向風險管理的轉化;同時要加強財務管理監控,建立健全監督制約和高效運行機制,以確保高校事業可持續發展。
  7. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中,使用參數自適應方法實現了學習率、慣性因子的自我調節,以避免系統誤差陷入局部最小,加快網路的收斂速度;提出了優化bp網路結構的實驗研究方法,並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較,結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  8. The control policy of the behaviors such as avoiding and pursuing is the combination of potential field method and behavior fusion method. the reinforcement learning based on existing knowledge is used to modify the importance parameters of each behavior, which will avoid the disadvantage of rules

    在對行為層規劃的研究中,運用基於勢場法思想的行為融合方法實現多機器人編隊的避碰和追蹤策略,並用嵌入先驗知識的強化學習方法對融合過程中的重要性參數進行調整,彌補了基於規則設計的不完整性。
  9. Define a radial basis function ( rbf ) at center of each cluster and learning a two - layer neural network which consists of these rbfs, simultaneously, for the purpose of avoiding over - fitting, we make use of ridge regression method, which adding a weight penalty term including a appropriate regularization parameter on the cost function and then lead to a more smooth function

    為每一個簇的中心定義相應的徑向基函數( radialbasisfunction , rbf ) ,再對這些徑向基函數構成的兩層神經網路進行訓練,同時,為了避免產生過度擬合現象,本文採用了嶺回歸技術,即在代價函數中加入一個包含適當正規化參數的權值懲罰項,從而保證網路輸出函數具有一定的平滑度。
分享友人