神經機能測定 的英文怎麼說

中文拼音 [shénjīngjīnéngcèdìng]
神經機能測定 英文
nerve function measurement
  • 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
  • 機 : machineengine
  • 能 : 能名詞（姓氏） a surname
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 神經 : nerve; nervus
  • 機能 : [生物學] function; enginery機能不全 inadequacy; insufficientia; 機能錯亂 parafunction; 機能低下 u...
  • 測定 : determine; determination; setting-out; admeasurement; assignment; assay; finding
  1. It showed that activated inhibition by weak noise could be gabaergic inhibition. from above the findings, we could give a hypothesis that the input of random oscillation induced by noise in the cochlea to central auditory system could be integrated in the central auditory nucleus and the response of sound - sensitive neuron to sound stimuli could be adjusted to an optimum state for signal intensity coding

    根據這些變化可以推測，這種背景噪聲的生物學作用可能是通過弱噪聲所引起的耳蝸隨機共振的輸入，在上行過程中經各級聽覺核團的整合，將中樞聲敏感神經元調定在一種準備狀態，並定型放電率函數和調制神經元對聲馨碩士學位論文master 』 st砰iesis強的編碼。
  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. 3. amino acid assay found that besides the release of glu, preincubation with synaptosomes at 370c for 30 min enabled - agtx to reduce kcl induced asp, gly, gaba release from synaptosomes by 90 3 %, 94. 5 2 % and 95 1. 5 %, however ionomycin evoked release of these transmitters is not significantly affected. it is indicated - agtx has a common inhibitory effect on the release of these transmitters by a resemble mechanism

    氨基酸測定發現，與突觸體370c下共保溫30分鐘，除glu外， 18nm - agtx還可以有效抑制50mmkcl誘發的asp ， gly和gaba神經遞質的突觸前釋放，與鈣對照相比，抑製程度分別為90 3 % ， 94 . 5 2 %和95 1 . 5 % ，但對ionimycin激發的遞質釋放沒有明顯抑制作用，顯示- agtx對這些神經遞質的釋放可能存在一個相同的作用機制。
  4. Semg signal is the sum of bioelectrical activities that recorded from the skin of working muscle by surface electrodes. the change in semg signal could reflect motor units activation patters and the status of muscle fatigue in some certain degree. because it was non - invasive and local sensitive, the technique of semg signal analysis had become very important method in examining and evaluating human muscle function

    Semg信號是從肌肉表面引導和記錄到的肌肉活動時神經肌肉系統生物電變化的一維時間序列信號，由於其檢測具有非損傷性和良好的局部性以及semg信號的變化在一定的程度上能夠反映運動單位的活動模式和肌肉疲勞的狀態，因此應用semg信號分析技術檢測和評價肌肉疲勞以及進一步探討其生理機制具有重要的理論意義和實用價值。
  5. A sophisticated computerized analysis of noninvasive measurements of optic nerve function and the retina ' s electrical activity showed dramatic improvement in the rats ' visual functions after the procedure

    一項老道的計算機化的未入侵分析測定視覺神經功能，視網膜的電活動顯示了輸入程序后視覺功能的提高。
  6. 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。
  7. Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi - sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient - liquid, which may realize multiple components detection on - line, for example no3 -, cl -, ca2 +, ph, ec, nh4 +, k + and so on. the soft sensor ' s mechanism is introduced to overcome the limitations of sensor ' s manufacturing process. to improve the believe - degree of soft sensor ' s result, we analyze soft sensor ' s result by uncertain inferential capacity and combination rule of evidential theory

    本論文通過對計算機技術、控制理論、人工智慧技術和設施農業領域知識等相關理論的研究，結合對特定溫室蔬菜生長的研究與機理分析，提出了一種基於rbf神經網路的營養液多傳感器數據融合（ msdf ）系統，實現對營養液組分： no _ 3 ~ - 、 cl ~ - 、 ca ~ （ 2 + ） 、 ph 、 ec 、 nh _ 4 ~ +和k ~ +的在線檢測；對于由於目前傳感器製造工藝的限制而不能在線檢測的離子成分如磷酸根和硫酸根，提出了一種基於徑向基函數網路的軟測量機制，可以有效地實現對營養液中磷酸根和硫酸根成分的實時檢測；為了提高軟測量結果的可信度，利用d - s證據理論的不確定推理能力和合成公式，結合領域知識對軟測量結果進行可信度分析。
  8. Mechanical vibration - vibrotactile perception thresholds for the assessment of nerve dysfunction - part 1 : method of measurement at the fingertips

    機械振動.評定神經功能障礙用振動感知閾值.第1部分:指尖測量法
  9. Mechanical vibration - vibrotactile perception thresholds for the assessment of nerve dysfunction - part 2 : analysis and interpretation of measurements at the fingertips

    機械振動.評定神經官能紊亂用振動感知閾值.第2部分:指尖處測量的分析和解釋
  10. A mechanics model has been presented to predict and judge the possibility of piping occurring based on the analysis of process of piping occurring and the factors affecting on the occurring of piping. a set of factors which have significant effects on the occurring of piping as well as more easily to be observed and measured have been selected as the input of artificial neural network by the developed mechanism model, and the mapping relation has established between the factors affecting on the occurring of piping and the index of occurring of piping

    首先分析了堤壩管涌發生的過程和影響管涌發生的因素，提出了一種預測判定管涌發生可能性的機理模型，根據機理模型從影響堤壩管涌發生的諸多復雜因素中選出既便於測量、觀測又對管涌發生影響顯著的幾種因素作為人工神經網路的輸入，建立了管涌影響因素與管涌發生指標之間的映射關系。
  11. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
  12. Autoregressive model can predict the low - scale ( high frequency random ) data as well as fnn, but it is simpler than fnn. so we use ar to predict high frequency data. we perform simulations for a certain 30s sttf prediction using different approaches and compare the results

    對于分解后的高頻隨機數據，自回歸（ ar ）模型預測能取得和模糊神經網路相當的精度，但它相對而言數學物理意義更明確，不需要確定繁雜的模糊規則。
  13. The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model. the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine, and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ). it is indicated that the grnn is more appropriate for prediction of time series than the bpnn, and the performance of grnn is qualified even with sparse sample data

    研究了基於廣義回歸神經網路（ grnn ）的大型旋轉機械振動狀態預測，提出了應用bic準則確定grnn預測模型輸入神經元數目的方法，將grnn用於大型機組振動峰?峰值時間序列的預測，與採用誤差反向傳播學習演算法的三層前饋感知器網路（ bpnn ）的預測結果對比表明， grnn的預測性能優于bpnn ，而且，即使樣本數據稀少，也能獲得滿意的預測結果。
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