效應神經 的英文怎麼說

中文拼音 [xiàoyīngshénjīng]
效應神經 英文
effector nerve
  • 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...
  • 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 procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  3. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  4. The theory of ann is helpful in this study. the methods of finite element analysis and optimum design are blent in well. as applications of this new strategy, some examples are examined

    運用人工神經網路的理論，開發了應用於機械結構優化設計的并行結構優化設計方法，將有限元法這一有效的工程分析方法和優化設計技術進行有機的融合，並進行了設計工程實例的應用。
  5. The neurophysiological effect of the messenger, and possible resultant behavioral change in the organism, depend on whether there is a net receipt or donation of energy by the organism.

    信使的神經生理學效應，以及有機體內可能產生的行為變化，依賴于有機體是否有一個純的能量給、受過程。
  6. 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。
  7. The efferent modulation effect of ap neuron on the positional information of pressure stimulus in the leech,

    中華寬體金線蛭ap神經元對壓力刺激部位信息的傳出調制效應
  8. The efferent modulation effect of ap neuron on the positional information of pressure stimulus in the leech, whitmania pigra

    中華寬體金線蛭ap神經元對壓力刺激部位信息的傳出調制效應
  9. Study on time dependent changes of nerve electrophysiology induced by allyl chloride in rats

    氯丙烯中毒大鼠神經電生理時間效應關系
  10. Hydraulic control system of double - cylinder vessel gate is a sort of typical electrohydraulic proportional control system0 in order to study electrohydraulic flux control characteristics of this system, i have analyzed the principle of this hydraulic control system, and made its mathematics model ? in double - cylinder hydraulic system, it is necessary to process electric synchronous control in this hydraulic system, this paper also introduces a sort of fnn ameliorated from the point of view of intelligent control theory, and clarifies the principle of applying that network to achieve synchronous controlo at the same time, the means of fuzzy configuration analysis is used for network training, the comparative experiments make known that the method of applying fnn to realize synchronization control is feasible, furthermore, its effect is better than others0 this paper puts forward that a distributed control system can be used to monitor and control vessel gate within a real - time or remote distance, the basic project, structure, applications and functions of computerized scada system in hydraulic system of vessel gate is introduced ? a double layer network structure, epigynous and hypogynous machine network, is applied to this system, in accord with the application of technique such as plc, integrated software etc, this paper introduces the methods and application to achieve the computerized scada system in the task, and analyzes the characteristic of this system, in this paper, the application of configuration in monitor and control system of vessel gate is discussedo in addition, in accord with the application of technique such as visual basicb

    雙缸船閘液壓啟閉控制系統要求解決同步控制問題，文中從智能控制理論角度出發，採用了一種改進的模糊神經網路，結合模糊聚類分析方法，闡述了應用該網路實現同步控制的原理。通過對比模擬實驗表明：應用模糊補經網路實現同步控制是可行的，而且它的同步控制效果要優于傳統的設置主從令缸控制方法，具有良好的魯棒性能。另外，本文提出了建立船閘控制系統的分散式控制系統，介紹了船閘液壓控制系統的計算機監控系統（ scada ）的方案、結構、應用和主要功能，採用雙層網路化結構：上位機網路和下位機網路，並結合plc通信網路技術和組態軟體等技術構成的計算機監控系統的實現方法，實際應用，分析了這種較新的系統模式在船閘液壓控制系統的計算機監控系統的功能實現中所具有的特點。
  11. Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features

    本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。
  12. One fault diagnosis model and corresponding algorithm was constructed based on neural network and evidence theory for taking a step forward diagnosis correct rate, which can cut down the imput dimension of neural network 、 improve classification ability 、 decrease the error classify rate of diagnosis system. then, the feasibility and effectiveness of this method was manifested by specific diagnosis example

    為進一步提高診斷準確率，本文基於神經網路和證據理論，構建了基於決策層信息融合的故障診斷模型及其相應演算法，目的在於降低神經網路的輸入空間，提高其分類能力，降低診斷系統的誤分類，診斷實例表明了這種方法的可行性和有效性。
  13. In order to decrease control infection resulting from the magnetic hysteresis of mr dampers, neural network prediction is proposed in this paper

    本文提出採用神經網路預測的方法來減小磁滯效應對振動控制效果的不利影響，得出了一些有價值的結論。
  14. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  15. Nucleus pulposus - induced nerve dysfunction may be the result of direct neurotoxic effects, the action of inflammatory agents, or vascular impairment

    髓核誘導的神經功能障礙可能是由於直接的神經毒性效應，炎癥反應或血管損害的結果。
  16. 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。
  17. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  18. 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。
  19. In order to provide a basic and effective practical engineering tool for handling quality planning, analysing and evaluating, which is needed hi helicopter prototype development, this research work is launched on the fundation of comprehending the new aeronautical standard of united states army - ads - 33, and has obtained the achievements as following : ( 1 ) performance definition of pcs according to the criteria requirements for an explicit helicopter, beginning at analysis of its missions. ( 2 ) establishment of a helicopter attitude controller, which can meet the criteria requirements, by using the technology of adaptive neural network model - inverse control ; implementation of two response types ( rts ) and two control modes ; evaluation of quantitative parameters according to the ads - 33. ( 3 ) establishment of a helicopter trajectory contoller based on the attitude controller ; simulations of mission task elements ( mtes ) and evaluation of handling quality

    為了給型號研製中飛行品質的規劃、分析和評價提供基本的、有效的工程實用工具，本課題在充分消化理解美軍新航標ads - 33的基礎上，作了以下工作： （ 1 ）針對具體直升機，從任務分析入手，根據規范要求確定對飛控系統的要求； （ 2 ）應用自適應神經網路模型逆控制技術，構造了能夠滿足飛行品質要求的直升機姿態控制器，實現了兩種響應型式、兩種控制模式，並根據ads - 33進行了定量指標評估； （ 3 ）在姿態控制器的基礎上，構造了軌跡跟蹤器，進行了任務科目基元模擬和飛行品質評估。
  20. The experiments of active vibration control are made using direct adaptive neural network controller and direct adaptive pd neural network controller on the two - stage isolation mounting, in addition, the experiment of noncollocated vibration control is made using the two mentioned network controller. all experiment results indicate the effectivity of adopted method

    在雙層隔振模擬實驗臺架上進行了直接自適應神經網路振動主動控制實驗和直接自適應pd神經網路振動主動控制實驗，另外進行了上述兩種神經網路的非並置振動主動控制的實驗研究，實驗結果驗證了所採用方法的有效性。
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