邏輯神經元 的英文怎麼說

中文拼音 [luóshénjīngyuán]
邏輯神經元 英文
logical neuron
  • 邏 : Ⅰ動1. （巡察） patrol 2. [書面語] （遮攔） blockⅡ名詞1. （巡察） patrol 2. [書面語] （山溪的邊緣） edge
  • 輯 : Ⅰ動詞（編輯; 輯錄） collect; compile; edit Ⅱ名詞（整套書籍、資料的各個部分） part; volume; division
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 邏輯 : logic
  • 神經 : nerve; nervus
  1. As we know, the ritual is often taken as " the traditional container ", which means ritual has a very special capable to contain the ethnic, historical and traditional interpretative ability for itself as well as multicultural, multiethnic exchange events and " facts ". in this case, dionysus pattern is a typical example, many aspects showed that there existed a very complicated relations among the arche - type : the origin of the western tragedy, the exhibition of relation between man, nature and culture, the expression of literary themes etc. main purpose of this research will be concentrated on the combination of the dionysus ritual pattern and analyses relative eastern factors including historical texts, the drama literature using the method of literary anthropology

    作為一個經典範例，酒神祭耙儀式被視為一種跨民族、跨區域、多元文明的遺產：西方戲劇起源的濫骯哲學美學類型上的二元對峙關系的基本要件：西方文學敘事中不可或缺的原型；更重要的是，它是人類生命體驗的「自然之性」的展示… …本文通過對酒神的個案的人類學資料，同時結合狄奧尼索斯祭祝儀、戲劇文學以及相關的歷史文本分析，旨在對比較文學中「西方中心」的歷史邏輯進行梳理和反思。
  2. Taking the advantage of the characteristic of nonlinear multi - zone partition in multi - dimension of mtn, an approach of employing mtn for archiving arbitrary digital logic was proposed. according to this approach, the xor operation which needs three stns to achieve was implemented using single mtn

    然後對多閾值神經元及其輸出特性作了詳細分析，利用多閾值神經元具有在多維空間中多區域非線性劃分的特點，提出了用一個多閾值神經元實現任意數字邏輯的規范方法。
  3. It can be extended to fuzzy logic systems and some lattice - valued logic systems. 3. the study on automated reasoning a new automated reasoning method based on path searching was proposed

    2 、提出一種利用神經邏輯單元動態地構造神經網路的演算法來對一些邏輯系統中的邏輯公式的真值進行計算。
  4. Finally this paper propose the structure diagram of adaptive distance protection based on neural network impedance relay, which describes entire logic procedure from data acquisition unit to trip unit

    最後提出基於神經網路阻抗繼電器的自適應距離保護結構框圖，描述從信號採集單元到動作出口單元的整個邏輯過程，並對自適應距離保護的前景作出展望。
  5. Three valued logic neuron model and its reasoning

    三值邏輯神經元模型及推理
  6. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  7. The paper analyses its key circuit and software program structure. this full - digital controller is made up of dsp and implements single neuron adaptive pid computation, current pi computation, logical determination, pulse - fire and procession of protective signal etc. it also improves the reliability and availability of this control system

    本課題對控制器主要的電路結構及程序結構進行了分析，以dsp為核心組成的全數字式控制器完成了電流pi演算法計算，單神經元自適應pid演算法計算、邏輯判斷、脈沖觸發以及系統保護信號的處理等，提高了控制器的可靠性和可操作性。
  8. Based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space. in this paper, a pattern match learning algorithm of bnns is proposed. when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out

    另一個研究成果是在分析線性可分和樣本連通性關系的基礎上，以mis問題為例，討論了抑制神經元在二進神經網路規則提取中的獨特作用，提出了二進神經網路的模式匹配學習演算法，採用這種演算法對布爾空間的樣本集合進行學習，得到的二進神經網路隱層神經元都歸屬於一類或幾類線性可分結構系，只要這幾類線性可分結構系的邏輯意義是清晰的，就可以分析整個學習結果的知識內涵。
  9. Proceeding from the mission of reducing neuron numbers in neural networks ( nns ) and enhancing the information processing abilities of single neuron, as well focusing on the digital logic implementation by multi - thresholded neurons ( mtns ), this dissertation makes it possible that digital logic can be implemented by a small number of neurons and the nns realized digital logic may have high information density

    論文從減少神經網路中神經元個數及提高單個神經元信息處理能力兩個角度出發，以數字邏輯的多閾值神經網路實現作為研究內容，提出用較少的神經元實現數字邏輯，並且使實現的數字邏輯具有較高信息密度的可能性。
  10. When a bnn has been trained, because the learning algorithm for it is various, some binary neurons perhaps belong to a kind of linearly separable ( ls ) series, and some others perhaps belong to another kind of ls series. so it is very significative for extraction of rules from a bnn that the general judging methods and logical meanings of all those ls series are studied

    由於二進神經網路的學習演算法是多種多樣的，因此在一個學習后的二進神經網路中，可能存在不同的神經元屬于不同的幾類線性可分結構系的情況，因此研究二進神經網路中各類線性可分結構系的判別方法和邏輯內涵，對二進神經網路的規則提取是十分有意義的。
  11. ( 3 ) some neural networks in common use and their correlations are discussed. ( 4 ) matter - element model of neurocontrol system ' s performance index is constructed. according to the demand of performance index matter - element neural networks matter - element in neurocontrol system are optimized and selected applying matter - element transformation theory and rhombus - thinking method

    本論文利用可拓邏輯的方法具有解決矛盾問題和不相容問題能力的特點，針對種類繁多和特色各異的用於控制的神經網路建立了神經網路物元模型，並進行了優度評判，研究成果對用於控制的神經網路的選擇和設計具有指導意義。
  12. Begin with analysis of binary logic implementation by single - thresholded neuron ( stn ), we drew a conclusion that digital logic implementation by neuron is actually a classification problem in multi - dimension space. meanwhile, we pointed out the demerits of soluting such problem by stn. then, the mtn and its transfer function was discussed particularly

    首先從二值數字邏輯的單閾值神經元實現的分析入手，通過對一個例子的分析，得出用神經元實現數字邏輯實為一個在多維空間中分類問題的結論，同時指出單閾值神經元在解決這一問題時存在的缺陷。
  13. Hence, the advantage of mtn over stn was shown with the facts that the nns need fewer neurons by using mtns than by using stns. in addition, the literal, and, or operation as three basic operations in ternary logic were separately implemented by single mtn. with these basic mtns, arbitrary ternary function can be achieved by nns

    利用這一方法，用一個多閾值神經元即實現了需三個單閾值神經元方能實現的異或運算，由此大幅減少了神經元個數；用一個多閾值神經元分別實現了三值邏輯中的文字、與、或三種基本運算，由這三種基本運算的多閾值神經元，可組成實現任意三值函數的多閾值神經元網路，由於提高了單個神經元信息處理的能力，使神經網路可實現復雜的多值邏輯，性能得以提高。
  14. By the second method, neural network breakout prediction model are becoming popular and replacing previous logical decision ones in the world. this is due to the drawbacks of the logical decision breakout prediction, such as lack of robustness and error tolerability. in contrast to that, neural network has good self - learning ability, robustness, and can constantly increase the system performance with the increase of running time

    在第二條途徑上，用神經網路漏鋼預報系統替代早期的邏輯判斷預報系統在國際上已成為一種趨勢，這是因為邏輯判斷系統存在自身無法克服的缺點，如容錯性差，缺乏魯棒性等，而神經元網路具有較好的自適應性能力、魯棒性和容錯能力，並隨著使用時間的延長，不斷提高系統的性能。
  15. Due to the enhancement of the information processing abilities of single neuron, the nns can realize the multi - valued logic ( mvl )

    在對數字邏輯的多閾值神經元實現理論研究的基礎上，探討多閾值神經元電路設計及實現的方案。
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