效應器神經 的英文怎麼說

中文拼音 [xiàoyīngqìshénjīng]
效應器神經 英文
effector
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 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 : 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
  • 效應 : [物理學] effect; action; influence
  • 神經 : nerve; nervus
  1. For example, outside the afferent nerve fiber in week nerve passes into sensory information centre, the instruction information that efferent nerve fiber issues centre spreads effect implement, convey with the form of nerve impulse, and the biology report that nerve impulse calls behavioral potential one kind namely changes, it is the mark of nerve excitement

    例如，外周神經中的傳入神經纖維把感覺信息傳入中樞，傳出神經纖維把中樞發出的指令信息傳給效應器，都是以神經沖動的形式傳送的，而神經沖動就是一種稱為動作電位的生物電變化，是神經興奮的標志。
  2. The efferent fibers carry impulses from the central nervous system to the effector organs commanded by these centers.

    傳出纖維把中樞神經系統的沖動傳到中樞所管轄的效應器。
  3. Avian encephalomyelitis virus ( aev ) is a picornavirus with a predilection for the central nervous system and other parenchymous organs of chickens that is transmited by the oral - faecal route. the virus may be spread by the vertical and horizontalroutes, and because of its great stability, contaminated areas may remain infectious for long periods. the egg - adapted van roekel strain is highly neurotropic and does not grow efficiently in the enteric tract of the chicken, and the field isolates of aev is usually enterotropic. despite this. the virion polypeptides of both naturally - occurring strains and the van roekel strain are antigenically identical

    侵害雞的中樞神經系統和其它實質性器官，該病毒通過口-糞途徑傳播，具有水平和垂直傳播的能力。由於它極大的穩定性，被污染的區域可能長期保持傳染性。雞胚適應株vanroekel是高度嗜神經的，並且在雞的腸道內不能有效的生長，而野毒株卻是嗜腸道型的。
  4. The nerves establish communication between the nerve centers and the sense organs and effectors.

    神經把神經中樞與感覺器和效應器聯系起來。
  5. Aim to eliminate the influences of backlash nonlinear characteristics, a second generation adaptive pid controller based on single neuron is given. the result of simulation and the debug of actual digital servo system shows that the controller can effectively get rid of the sustained oscillation of the system caused by the backlash characteristics, and can improve the system accuracy

    隨后，採用改進型單神經元自適應pid控制器來消除間隙非線性對系統的影響，模擬結果表明所採用的方法能有效消除間隙特性引起的系統自振蕩，並且能夠提高系統的跟蹤精度。
  6. Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace

    通過對pid 、模糊、單神經元等控制策略的分析比較，將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合，改進了單神經元控制器演算法，可以有效抑制擾動，減少斷弧、短路等現象的發生，使系統的控制效果和魯棒性都得到增強，對電弧爐控制系統的設計也具有一定的應用參考價值。
  7. On the actual ward spot, because with the variety of the season and the day and night, the environment factors is variational and with the difference of the ward spot, the environment factors is also different, based on the frame of decision level fusion this paper apply neural network and fuzzy inference technology to achieving multi - sensors fire detection system, which can endue different sensors with different weight for adapting the variation of environment according to the actual things. we test this method applied to the multi - sensors fire detection system by simulating and attain the anticipative result

    針對實際監護現場，環境因素會隨著季節以及晝夜變化而變化，而且在不同的監控現場，環境因素也不相同的問題本文在決策層融合的框架下，利用神經網路和模糊推理技術相結合來實現多傳感器火災探測，根據實際情況，賦予不同的傳感器不同的權重系數以適應環境變化，通過模擬驗證了此種方法應用於多傳感器火災探測系統可達到預期效果。
  8. Melatonin has a simple chemical structure, but it plays a decisive role in bodily functions, monitoring the work of the glands and organs, and regulating hormone production. it also controls over - stimulation of the sympathetic nerves to lower blood pressure and slow the heart rate, thus reducing the impact on the heart. it also alleviates mental stress, improves sleep, adjusts the body s biological clock, relieves jet lag, strengthens immunity, increases the body s resistance to germs and viruses, and prevents cancer and senile dementia

    褪黑激素的化學結構非常簡單，但是在人體內卻具有舉足輕重的作用：它監視著體內各種腺體器官的運作，指揮各種荷爾蒙維持在正常的濃度它可以抑制人體交感神經的興奮性，使得血壓下降心跳速率減慢降低心臟負擔它能夠減輕精神壓力提高睡眠品質調節生物時鐘緩解時差效應，而且具有加強免疫功能抵抗細菌病毒及預防癌癥老年癡呆癥等多種疾病的功效。
  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 design of four - bar linkages driven by motor, the mass - distribution is used to counteract the fluctuation of system and improve the performance. at the same time, this paper applies an adaptive neuron pid controller for nonlinear time - variable system. it efficiently lessens the fluctuation, accompanying with mass - redistribution

    在電機驅動的平面四桿機構設計中，首先對機構進行質量平衡，這不但減小了速度波動，而且也簡化了狀態方程；再針對系統的狀態方程非線性、時變特性選用單神經元自適應pid控制器的方法，有效的消除了系統的速度波動。
  11. The following conclusions have been drawn from this research program, : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard, and it can be utilized for helicopter handling quality design. ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope, with requiring only an approximate linear model at a single operating point. ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development

    通過該課題的研究，得到以下結論： （ 1 ）參考模型跟蹤結構能夠直接實現飛行品質規范要求，可以用於直升機飛行品質設計； （ 2 ）自適應模型逆控制方法只需一個基準狀態下的近似線性模型，卻可在整個使用包線內提供協調一致的飛行品質； （ 3 ）自適應神經網路模型逆控制技術可節約成本，縮短飛控系統研製周期； （ 4 ）在某些部件部分意外失效或戰損情況下，自適應神經網路具有實現控制的在線快速重新配置、保持飛行品質的潛力； （ 5 ）軌跡跟蹤控制器可以用於任務科目基元模擬及飛行品質評估。
  12. This paper focuses on the feasibility and stability of the neural network and robust controller is applied to position inner loop. the study of simulation indicates that the effectiveness of the controller and the feasibility of the whole project

    本文著重對神經網路魯棒控制器應用於厚控系統位置內環的可行性及系統的穩定性進行了分析，模擬研究表明了控制器的有效性以及整套方案的可行性。
  13. After researching the application of artificial neural network to fault diagnosis of transformer, the back propagation algorithm is improved observably. inducting chaos dynamics principium to create chaos neural network back propagation algorithm and using the pretreatment of training sample, the emulation program show that this method is effective

    本文深入研究了人工神經網路在變壓器故障診斷中的應用，對目前最常採用的bp演算法做出了較大改進，在原有演算法中引入混沌動力學原理構造了混沌神經網路bp演算法，並提出了訓練樣本集的預處理方法，在模擬訓練中取得了滿意的效果。
  14. In this paper, i studied the theory of wavelet in the field of sensor faults diagnose. then i discuss the effects that using various kinds of mother wavelet detect sensors faults in the concrete simulated example. at last, we studied the application of combining the wavelet and bp neural networks to sensors failure detection and simulated sensor faults diagnose by the computer

    本文主要研究了小波分析在傳感器故障診斷中的應用，詳細地探討了各種小波基函數在傳感器故障診斷中的應用，並通過具體的模擬實例對各種小波基函數在傳感器故障檢測中的效果進行驗證，最後研究了結合小波分析和bp神經網路進行傳感器故障診斷的技術，同時做了計算機模擬診斷。
  15. Hybrid machine learning ( hml ) is the latest applying in the field of intelligent information process. it combines the induced learning based - on decision - making tree with the blocking neural network. and it provides a useful intelligent knowledge - based data mining technique

    混合機器學習是在智能信息處理上的最新應用，它把以決策樹為基礎的歸納學習與模塊化的神經網路演算法結合起來，從而提供了一種在知識基礎上進行證實和確認的行之有效的智能化數據挖掘過程，其核心演算法是id3和ftart 。
  16. Abstract : in this paper a new adaptive neural network controller is presented for a class of continuous - time nonlinear time delay systems subject to modeling uncertainty. the neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems. an adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions. stability of the closed - loop system is proved by the lyapunov method. the effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor

    文摘:針對模型不確定性的連續時間時滯系統，提出了一種新的神經網路自適應控制.系統的辨識模型是由神經網路和系統的已知信息組合構成，在此基礎上，建立時滯系統的預測模型.基於神經網路預測模型的自適應控制器能夠實現期望軌線的跟蹤，理論上證明了閉環系統的穩定性.連續攪拌釜式反應器模擬結果表明了該控制方案的有效性
  17. Finally, combining the two extraction methods with the two classification methods, the thesis put forward four models of palmprint recognition : k - l + ld model, k - l + nn model, nn + ld model and nn + nn model. the experiments show the accuracy, efficiency and the fault tolerance ability of these models. in terms of their characteristic, we can apply them in various fields

    論文把兩種特徵提取方法和兩種分類器設計方法進行結合，提出k - l變換與最小分類器、 k - l變換與bp神經網路分類器、線性神經網路與最小分類器、線性神經網路與bp神經網路分類器四種組合，最後對四種識別方法進行比較，根據它們識別的準確率、效率以及容錯能力對識別結果進行分析，總結出各種方法的優缺點，根據它們的特點，提出在不同方面的應用。
  18. Based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed. combined with neural network, self - tuning control can realized better control over non - linear system. utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line. at last, the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized. the simulation results show that it has better performance than traditional pid controller. at the same time, it provides some reference for the control of other similar systems

    在此基礎上，基於補償控制思想，利用神經pid對傳統pid進行補償，設計了一種混合pid控制器；神經網路與自校正控制的結合，使得自校正方法能對非線性系統實現比較理想的控制效果；利用模糊控制與神經網路控制各自的優點，提出了一種基於快速bp演算法的神經網路自適應模糊控制器，能夠對系統進行在線控制。最後將混合pid控制應用於h型鋼連軋機張力系統中，實現微張力控制，模擬結果說明其較傳統pid具有更好的性能，同時也為其它類似系統的控制提供一些參考。
  19. The operation reliability of the power transformer as the key equipment in electrical power systems, influences operation security of electrical power systems directly. the components and contents of gases dissolved in transformer oil can be used to reflects internal insulation faults of operating transformer. in order to overcome the errors caused by complex handling procedure and man - made factors using general chromatogram analysis method, author brings forward an on - line detecting of gases dissolved in transformer oil by using macromolecule polymer to separate oil and gases automatically and an information fusion technology of multi - sensors ; at the same time, in order to improve the accuracy and reliability, author uses neural networks to diagnose transformer faults

    變壓器作為電力系統的樞紐設備，其運行可靠性直接影響電力系統的安全運行；變壓器油中溶解氣體的成分和含量能有效體現運行變壓器內部的絕緣故障情況，為解決常規色譜分析中復雜的操作程序和由於人為因素引起的較大的誤差，論文提出了應用高分子聚合膜實現變壓器油氣自動分離、多傳感信息融合技術智能檢測多種氣體成分的變壓器油中溶解氣體在線監測技術，應用神經網路智能診斷方法實施故障診斷，提高變壓器故障診斷的準確性和可靠性。
  20. By simulation we can find that the robot can not only accurately trace the target but also have an optimal route when it is tracing the target

    從模擬效果可以看出，應用神經網路控制，不但可以使機器人準確的跟蹤到目標，而且可以使機器人在跟蹤目標的過程中所經過的路線達到最優。
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