神經終器 的英文怎麼說

中文拼音 [shénjīngzhōngqì]
神經終器 英文
neuroterminal
  • 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
  • 終 : Ⅰ名詞1 （最後; 末了） end; ending; finish 2 （指人死） death; end 3 （姓氏） a surname Ⅱ形容詞（...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 神經 : nerve; nervus
  1. God created our body so well that he thought of even this

    當神經連接這些終止在此的器官時，這確實是正確的（指壓按摩法） 。
  2. It is indeed correct since the nerves connected to these organs terminate here. this is covered in great details in acupressure studies or textbooks

    當神經連接這些終止在此的器官時，這確實是正確的（指壓按摩法） 。這包含了研究指壓按摩或者書中有關這方面的詳細解說。
  3. In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented

    本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。
  4. The second is a fuzzy neuron network based hybrid filter, which comprises four basic components : plus - shaped center weighted median filter, cross - shaped center weighted median filter, nine pixels median filter, and a fusion center with fuzzy - neuron network. the proposed filter is able to effectively inherit the merits of the used three filters. the third is a fuzzy reasoning filter based on neural network

    第二種是基於模糊神經網路的混合濾波器，主要濾波器模塊有十字型中心加權中值濾波器、交叉型中心加權中值濾波器和9點中值濾波器，信號經過三種濾波器處理後送入一個訓練好的模糊神經網路進行融合處理，得到最終的濾波結果。
  5. ( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward

    （ 3 ）通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接，從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞； （ 4 ）在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面，通過標準數據庫查詢語言，客戶能對數據庫中的塑料模具材料信息進行查詢（程序文件列表參見附錄1 ） ；廣東丁業人學1學m學位淪義門）在服務器端利用sp技術建立用戶管理系統，接受用戶的注冊、登錄消求，為不同等級的用戶設定相應的權限（程序文件列表參見附錄1 ） ； （ 6 ）討論了進一步完善該專家系統所需做的工作，提出塑料模具選材神經網路批理的實現方案，並對其中的關鍵問題進行了討論：按照可持續發展的要求，對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。
  6. In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm

    在多結構基元濾波器設計中，通過學習人-機交互選定的目標樣本，自動確定形態變換的組合規則及其結構元素，最終以神經網路形式構成濾波器。在結構參數的優化學習中，利用應用領域的先驗知識，分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。
  7. A new model about measuring harmonics on - line is proposed in this paper. after band pass filtering, sampling storage and the monitoring on - line with artificial neural network ( ann ), we can obtain the harmonics signal, which is used to compensate harmonics. using the basic principle of analog parallel harmonics measurement and a special multi - layer feedforward neural network, a corresponding harmonics measurement on - line is built

    在本文中提出了一種新型電網諧波監測系統模型，通過帶通濾波器，采樣存儲器以及神經網路組成的監測系統可以實時監測電網諧波，當電網中的3次、 5次、 7次諧波超過容許值時，給出控制信號啟動以記錄儀記錄諧波，並可以控制諧波補償，最終達到監督電網，抑制諧波、減小諧波的目的。
  8. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  9. Together these sensory organs are supplied by more than 100, 000 nerve fibers that carry information to the central nervous system and eventually to the highest mammalian processing center, the neocortex

    共有10萬條以上的神經纖維支援這些感覺器，把訊息傳到中樞神經系統，最終抵達哺乳動物的最高層處理中心，即新大腦皮質。
  10. Back - propagation ( bp ) neural networks are used as classification models in various feature domains, and then outputs of these networks are combined by the d - s evidence theory to obtain a consensus classification re suit

    待辨識的6類手部動作肌電信號經各特徵域變換，提取特徵矢量後由bp神經網路分類，根據d - s證據理論對各分類器分類結果進行證據累積，並得到最終分類結果。
  11. You are intelligent because you have the ultimate weapon against the big n. b. d. - - nervous break down

    你是智慧的，因為你有抵禦神經崩潰的終極武器
  12. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。
  13. After compared these methods, power spectral frequency band intensity, pca and linear network were choose to carry out the recognition system. finally, this paper provided software of gui as well as a group of simulink blocks to operate data and acquire results

    在綜合比較各種方法后，最終選擇功率譜估計頻帶強度為分類特徵， pca用於特徵提取，線性神經網路作為分類器用於系統的實現。
  14. This thesis first trained a bp net offline with great deal of experimental data, to establish the primary relationships of the inputs and outputs, then with the genetic algorithm the net was trained online, and eventually a neural network controller with quite good performances was built up

    本文利用bp網路首先離線學習大量的模擬實驗數據，初步建立起輸入輸出的函數關系；進而引入遺傳演算法進行網路的在線學習，最終建立起一個控制性能良好的神經網路控制器。
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