神經器件 的英文怎麼說

中文拼音 [shénjīngqìjiàn]
神經器件 英文
neuristor
  • 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
  • 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
  • 件 : Ⅰ量詞（用於個體事物） piece; article; item Ⅱ名詞1. （指可以一一計算的事物） 2. （文件） letter; correspondence; paper; document
  • 神經 : nerve; nervus
  1. Neurosurgical implants - sterile, single - use hydrocephalus shunts and components

    神經外科植入物.無菌的一次性使用的腦積水分流器和組件
  2. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  3. It was the world ' s first major chemical attack using sarin, a nerve agent which attacks the respiratory system

    這是世界上首宗使用沙林神經毒氣施襲的重大化學武器事件。
  4. In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly

    在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。
  5. This paper is introduced bp neutral network character, algorithm, designing principal on its construction and the designed product. input features extracted by the way described above into a bp neutral network, and using it to classify seven type of different carburized layer depth specimen. the result is indicated, using wavelet packet method to extract features and bp neutral network to classifying, is effective and precise to classify different metal carburized layer depth. it is useful and economical

    本文介紹了bp神經網路的特點、演算法和其結構的具體設計方法和設計結果，並將小波包提取的特徵值輸入到bp網路，對7種不同滲碳層深度的試件進行分類，實驗結果表明，小波特徵值提取和bp神經網路分類器相結合，可以實現對不同滲碳層深度的分類，效果良好，精度較高，有一定的實用價值。
  6. The error of hall element is analysed and the compensative method is provided ; this paper makes the theoretical analysis of errors producing by the instrument amplifier and a / d converter. we adopt the technology of digital filter and linearization implementing by the neural network method

    對霍爾元件的誤差進行分析並給出補償方法；對儀表放大器和a d轉換器引起的誤差進行了理論分析；採用了數字濾波技術和採用神經網路方法實現的非線性校正技術進行軟體補償。
  7. Concerning the characteristics of our country ' s residential section, the basic pattern of the intelligent residential section system is designed. by analyzing the functions of system ' s different components, the thesis proposes great number of advantages in constructing controlling network system of residential section intelligence with lonworks technology. then, one system of home intelligence control based on the neuron chip which is the central cell of the. lonwoks technology is established, and the related bottom application program and the interface of human and machine are also represented

    本文通過對國內、外智能住宅及其小區智能化建設的有關資料分析，結合我國住宅小區的特點，規劃設計了住宅小區智能化系統的基本模式，通過對其各組成系統的功能分析，指出用lonworks技術構建住宅小區智能化控制網路系統有許多優越性，並對lonworks技術的核心元器件神經元（ neuron ）晶元做介面擴展，構建了一個家居智能控制系統，給出了相應的底層應用程序和人機界面管理程序。
  8. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  9. Test technique of acoustic excitation presented in this paper can discriminate if the adhesive structure is intensional enough to endure certainty draw strength, through a series of process, for example bringing draw strength to bear on adhesive structure. testing signal through microphone array, choosing signal ' s character, recognizing automatically through manual nerve network, and so on

    本文介紹的粘接構件聲激勵檢測方法，通過對粘結結構施加微力、陣列傳聲器檢測信號、信號的特徵提取、人工神經網路的分類識別等一系列過程，完成了粘接結構承受拉脫力合格與否的無損預報。
  10. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  11. A kind of capacitor sensor to make computer - based measurements to level angle is designed. it is with the aid of artificial neural network that we can non - linearity map the level angle with the output values regarding to the changing environmental conditions

    利用電容式傳感器實現水平偏轉角度的計算機檢測，在考慮環境條件變化的情況下，利用人工神經網路實現偏轉角與輸出量值的非線性映射。
  12. Abstract : a kind of capacitor sensor to make computer - based measurements to level angle is designed. it is with the aid of artificial neural network that we can non - linearity map the level angle with the output values regarding to the changing environmental conditions

    文摘:利用電容式傳感器實現水平偏轉角度的計算機檢測，在考慮環境條件變化的情況下，利用人工神經網路實現偏轉角與輸出量值的非線性映射。
  13. 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。
  14. ( 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。
  15. Being different from traditional neural network or nn, nn is based on traditional statistics, which provides conclusion only for the situation where sample size is tending to infinity, while svm is based on statistical learning theory or slt, which is a small - sample statistics and concerns mainly the statistic principles when sample are limited, especially the properties of learning procedure

    支持向量機（ svm ）是九十年代中期發展起來的新的機器學習技術，與傳統的神經網路（ nn ）技術不同， svm是以統計學習理論（ slt ）為基礎， nn是以傳統統計學理論為基礎。傳統統計學的前提條件是要有足夠多的樣本，而統計學習理論是著重研究小樣本條件下的統計規律和學習方法的，它為機器學習問題建立了一個很好的理論框架。
  16. Medical electrical equipment - part 2 - 10 : particular requirements for the safety of nerve and muscle stimulators ; amendment 1

    醫療電氣設備.第2 - 10部分:神經和肌肉刺激器安全性的特殊要求.修改件1
  17. Then, a kind of wnn based on single - scaling multidimensional wavelet frames and its matching pursuit algorithm is introduced. it is applied to approximate the nonlinear terms with lipschitz property of nonlinear systems to establish the adaptive state observer. the robust fault detection is realized by the observer, demonstrating the predominant performance of the wnn

    然後利用一種基於單尺度小波框架的小波網路，逼近一類滿足lipschitz條件的非線性系統的非線性項，構造自適應狀態觀測器，實現了系統的魯棒故障檢測，同時採用徑向基神經網路進行殘差處理，實現了故障預報。
  18. 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。
  19. Electroencephalograph ( eeg ) telemetry system consists of transmitters, receivers, and other components used for remotely monitoring or measuring eeg signals by means of radio or telephone transmission systems ( in the u. s. a. see food and drug administration, medical devices : classification of neurological devices )

    腦電波（ eeg ）遙感監測系統包括了傳輸器，接收器，以及其他部件用於遠程監測或測量腦電圖信號，通過無線電波或電話傳輸系統的方法（在美國，看食品藥物管理局，醫學設備：神經學裝置的分類。 ）
  20. The following important work has been done : ( 1 ) some special problems of rate - bias laser gyro were analysed. the problems include modulation and demodulation of the output and algorithm of the attitude updates ; ( 2 ) the integrated navigation system with the fault tolerance property which equipped with many navigation equipments as sins, gps, dvs, ads, mg, vg is designed, and compared with that of ckf via simulations ; ( 3 ) the theories and methods of system level fault detection apply to federated filtering is investigated ; ( 4 ) the problem about using the fused information of sins based on rate - bias laser gyroscope / dynamical tune gyroscope to realize the component level hard fault interactions detection through a back - propagation neural network is discussed

    主要研究工作有：研究了速率偏頻激光捷聯慣導的陀螺測量信號的解調演算法；設計了在速率偏頻激光捷聯慣導、 gps 、多普勒雷達、大氣數據系統、磁航向儀及垂直陀螺配備條件下聯邦濾波組合導航系統，對聯邦濾波器和集中濾波器的性能做了模擬對比分析；研究了適用於聯邦濾波器的系統級故障理論和方法；探討了利用速率偏頻激光捷聯慣導撓性捷聯慣導陀螺的混合測量信息，通過神經網路實現硬故障交互檢測的方法。
分享友人
分享到 Line

分享到臉書