神經運動器 的英文怎麼說

中文拼音 [shénjīngyùndòngqì]
神經運動器 英文
neuromotor apparatus
  • 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
  • 運 : Ⅰ動詞1 （物體位置不斷變化） move; revolve 2 （搬運; 運輸） carry; transport 3 （運用） use; wield...
  • 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
  • 運動 : 運動[舊時用語] arrange things or get things done through pull
  1. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  2. The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller

    包括移動機器人的融合自定位問題：移動機器人利用光電編碼器進行自定位，同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值，採用回朔演算法將融合值用於復位光電編碼器，消除了光電編碼器累積誤差的影響，並能滿足實時控制的要求：並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器，並應用於移動機器人的運動控制；利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息，以實現機器人的安全避障。
  3. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  4. Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed

    本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。
  5. Generally speaking, there is high proportion no - o2 exercise during the high intensity exercise the insufficient oxygen can inhabit the activity of nervous system and some organs

    大強度的運動中一般有大比例的無氧運動。氧量的不足對于抑制中樞神經系統和運動器官活動具有作用。
  6. As a scientific term, the word mind is the name of the part of a human body, centralized in the nervous system, connected structurally and functionally with sense organs, motor organs and internal organs, appearing objectively as a human body ' s sensing and acting on its environment and subjectively as consciousness with different contents, and being essentially a control system of the biological behaviors in which the human body asts as a whole

    作為科學術語，心靈這個詞代表了人體的這樣一個部分，其主要位於神經系統中，在結構上和功能上與感覺器官，運動器官和內臟器官相關，其客觀表現為人體對環境的感受和作用，主觀表現為不同內容的意識，而在本質上則是人整體生物行為的控制系統。
  7. 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。
  8. Course contents ( containing practice period ) : introduction to the course ; basic function of cells ; breath ; blood ; blood circulation ; digesting and absorption ; energy metabolism and body temperature ; the excretion of kidney ; sensory organs ; nervous system ; endocrine system ; urogenital system ; physical constitution ; change of physiological function of human body in each sports stage ; lung ' s function measurement ; blood type test ; hemoglobin measurement ; auscultation of heart sounds ; measurement of blood pressure ; electrocardiogram measurement ; measurement of visual field ; measurement of body temperature ; cardiovascular function test before and after sport

    課程內容（含實踐活動） ：緒論、細胞的基本功能、呼吸、血液、血液循環、消化與吸收、能量代謝和體溫、腎臟的排泄、感覺器官、神經系統、內分泌、生殖、身體素質、運動各階段人體生理功能的變化、肺功能測定、血型鑒定、血紅蛋白測定、心音聽診、血壓測定、心電圖測定、視野測定、體溫測定、運動前後心血管功能變化。
  9. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  10. 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。
  11. On the basis of kineto - elastodynamics ( ked ), modern control theory and neural networks ( nn ), this dissertation studies, in a systematic way, the theory and the methods of the nn based active vibration control of flexible linkage mechanisms whose flexible links are incorporated with piezoceramic actuators and strain gauge sensors

    本文首次將機構運動彈性動力學、現代控制論及神經網路理論相結合，以具有壓電陶瓷作動器與電阻應變計傳感器的平面彈性連桿機構為研究對象，系統地開展了基於神經網路的彈性連桿機構振動主動控制的理論、方法與實驗研究。
  12. The bp neural network is applied to the recognition of wear particles, and a bp neural network sorting system expected to recognize severe wear particle, cutting wear particle, normal wear particle and fatigue wear particle is designed and trained. 6. the function of the neural network ' s hidden layer is analyzed

    將神經網路應用於磨粒識別，設計磨粒分類器，在網路學習中運用改進的bp模型，識別嚴重滑動磨損磨粒、切削磨粒、正常磨損磨粒和疲勞點蝕磨粒，隨機選取50個樣本對分類器進行訓練。
  13. To apply neural networks to the simulation of ship maneuvering motion, an nnrm ( neural network recursive model ) is designed and used to simulate a serial full - scale tests conducted in yangtze river and the comparison between simulated results and the measured ones is satisfactory. ship trajectory tracking is a well - known maneuvering problem with an increasing practical and theoretical interest. but the real - world tracking applications encounter a number of difficulties caused by the presence of different kinds of uncertainty due to the unknown or not precisely known system model and environmental effects

    本文利用智能控制技術的優越性，嘗試將智能化控制技術用於船舶操縱運動模擬，初步探索了將現代控制理論和智能技術融入船舶操縱預報、模擬的研究方法，提出了用於船舶操縱運動模擬的線性神經網路（ lnn ） 、神經網路遞推模型（ nnrm ）和nnrm 、交錯航跡距離（ cte ）和視距（ los ）混合控制器模型三種控制模型：並將控制模型的理論研究應用到實船試驗數據分析、計算，將模擬結果與實際的試驗結果作了比較。
  14. We would have to translate her neuronal activity into robot commands in just 300 milliseconds ? the natural delay between the time belle ' s motor cortex planned how she should move her limb and the moment it sent the instructions to her muscles

    也就是說，我們將在300毫秒內，把貝麗的神經活性轉變成機器指令； 300毫秒是從貝麗的運動皮質動念要移動手臂，到指令傳送至肌肉之間的正常延遲時間。
  15. And the controller based on vhdl ( very high speed integration circuit hardware description language ) was designed under the fpga ( field programmable gates array ) integration environment with the values gained from the train of the neural network using matlab

    氣動柔性手指神經網路控制器是在已經對氣動柔性手指進行運動學和動力學分析的前提下，使用matlab對神經網路進行試訓，依據訓練所得的權值和閾值，在現場可編程門陣列集成環境下，基於超高速集成電路硬體描述語言完成的。
  16. This thesis is mainly concerned with how to apply to monitoring online and fault diagnosis with the transducer technology, signal receiving and processing technology, artificial neural network and bp arithmetic, fault diagnosis technology, structure dynamics, matlab software, supersap software, dsps system. when the structure is excited, the monitoring system can automatically pick up signals, gain feature parameters. the well - trained bp artificial neural network, can determine whether the structure has fault when the parameter is input into it

    本文主要研究如何運用傳感器技術、信號提取和信號處理技術、人工神經網路及bp演算法、故障診斷和結構動力學知識、 matlab軟體、 supersap軟體、 dsps系統，對結構進行在線監測，當結構受激勵時，監測系統就會自動採集信號，獲得特徵參數，將特徵參數輸出訓練好的bp人工神經網路，就可以診斷結構是否有故障。
  17. Secondly, the following two subjects are discussed according to the calculation of short - circuit current : ( l ) to verify the dynamic stability condition of wires by using simulated annealing algorithm ( sa ), the paper calculates the maximum value of rectangle wires " short - circuit electrodynamic stress and gets the conditions of their having the maximum value. furthermore, some concerned data about the verifying of copper wires are given by analysing vibration spectrum of the electrodynamic stress ; ( 2 ) in order to get the heat withstand conditions of wires, the paper discusses some common calculation methods, and then tries to study the problem applying artificial neural network ( ann ) based on heat principle of metals. the model is shown to be feasible

    其次，在電路中短路電流計算的基礎上， （ 1 ）進行母線的短路動穩定校驗計算：採用模擬退火演算法（ sa演算法）計算了矩形母線短路電動力的最大值及其取極值的條件，獲得了更為一般的結果，進而通過短路電動力的頻譜分析，給出了銅質母線的有關短路校驗計算數據； （ 2 ）進行母線的短路熱穩定校驗計算：討論了熱穩定校校的幾種常用計算方法，從導體或電器的發熱機理出發，運用人工神經網路理論對母線的熱穩定問題進行計算，通過算例比較，證明該方法用於熱穩定計算是可行的。
  18. Currently, image recognition has five primary methods : classical statistic model method, auto method based on information, auto method based on model, amalgamation of several sensors and manual neural network. how to improve the classical method and how to assemble different recognition method are still problems to be improved. based on the current research state, the classical statistic model recognition method and correlative knowledge are researched firstly

    基於當前的研究現狀，本文以可見光和紅外儀器同步拍攝的不同環境下的運動車輛目標序列為對象，在深入研究了經典的統計模式識別方法及相關理論的基礎上，對車輛目標識別系統中的特徵提取和識別方法等方面做了較深入的研究，並對神經網路在車型識別系統中的應用作了試探性研究。
  19. The self - tuning fuzzy control algorithm including a back - propagation - based fuzzy controller and the gradient descent method is applied to reduce the pitch motion of the swath ship with control stabilizing fins

    控制模式為一自調模糊控制，包括應用一類神經倒傳遞觀念的模糊控制器及梯度下降法來減少縱搖運動。
  20. The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances

    而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。
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