激活函數 的英文怎麼說

中文拼音 [jīhuóhánshǔ]
激活函數 英文
activation function
  • 激 : Ⅰ動詞1 （水因受到阻礙或震蕩而向上涌） swash; surge; dash 2 （冷水突然刺激身體使得病） fall ill fr...
  • 活 : Ⅰ動詞1 （生存; 有生命） live 2 [書面語]（救活） save （the life of a person）:活人無算 （of a goo...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 激活 : activation; sensitization; activate; sensitize; active激活材料 active material; 激活劑 activating...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. First we introduce its basic idea, typical activating functions, learning rules and its main application : classification & c1ustering, associated memory and optimiza tion

    我們先簡要介紹了人工神經元網路的基本思想，典型激活函數，學習規則和主要應用：分類聚類，聯想記憶和優化。
  2. When activated, a stack probe reaches benignly into memory by the amount of space required to store the associated function s local variables

    堆棧探測激活時，它在內存中良性延伸存儲關聯函數的局部變量所需的空間量。
  3. This thesis has studied the dynamic features of a class of the discrete - time neural network model of two neurons, such as the convergence and periodicity and etc. the function of the neuron signal transmission in this model, which belongs to three piecewise constant argument, indicates the following charactersif the signal of one neuron on the network is active between a and b, it will produce invariable encouragement effect on another neuron ; if the signal of one neuron is lower than a, it will produce invariable restrain effect on another one, if the signal of one neuron is higher than b, it will produce no effect on another one

    本文研究了一類二元離散人工神經網路模型的解的收斂性及周期解的存在性等動力學特徵。該模型的神經元信號傳遞函數是三段常數不連續函數。這種信號傳遞函數表明如果某神經元的信號在a與b之間活躍，則它對另一個神經元產生恆定的激勵效果，如果某神經元的信號低於a ，則它對另一個神經元產生恆定的抑制效果，如果某神經元的信號高於b ，則它對另一個神經元不產生作用。
  4. Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network

    ） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （
  5. Caculation is carried through adopting mechanism function of the first order reaction, f1 : f ( ) = l -. the results have good linear relativities, a, the precipitated fractions are excellently representative, and f1 is ascertained the most probably mechanism function of " phase precipitation. the electric field reduces activation energies of " phase precipitation and average sizes of " particles both in 2090 and 1420 alloys

    採用一級反應的模型函數f1 ： f （ ） = 1 - ，計算了相析出的動力學，計算結果具有良好的線性相關性，並且具有很好的代表性，確定f1為相析出的最概然機理函數；電場固溶使2090合金和1420合金升溫時效過程的相析出激活能有一定程度的減小，並減小了相顆粒的平均尺寸。
  6. Importance of optimizing neural activation function types

    優化神經元激活函數類型的重要性
  7. And that the conclusion can also be generalized to multi - channel system. in addition, some practical considerations, e. g.,

    3 .參數自適應fastica演算法非線性激活函數（ nonlinearactivationfunction ）和獨立性約束密切相關，是ica估計的關鍵因素之一。
  8. Based on the analysis of all kinds of spaces in the surgical environment of orthopaedic clinic, the set with constraint - activated functions is adopted to describe clinical spaces

    摘要在分析骨科臨床手術環境中各類空間的基礎上，用帶有約束激活函數的集合對臨床空間進行了描述。
  9. The dissertation is dedicatd to the theory of maximum nongaussianity estimation in ica, and some problems are emphasized, e. g., the uniqueness of estimation, the convergence of fastica, the constraint of independence and the nonlinear activation function, the algorithms for multiple components and the order of independnent components

    本文重點研究最大非高斯估計的相關理論問題，包括估計的唯一性，演算法的收斂性，獨立性約束分析和非線性激活函數，獨立分量的排序和子空間的選擇，具有時間結構信息的信號源的估計等。
  10. Our condition and estimate are formulated in terms of the network parameters, the neurons ’ activation functions and the associated equilibrium point. hence, they are easily checkable. it is believed that these results are significant and useful for the design and applications of the delayed hopfield neural networks

    這些條件和估計的公式是由網路參數、神經元激活函數以及相應的平衡點構成，所以它們很容易使用，相信這些結果對于帶時間延遲的hopfield神經網路的設計和應用具有一定的重要性和使用價值。
  11. Activates stack probes for every function call that requires storage for local variables

    為需要局部變量存儲的每個函數調用激活堆棧探測。
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