離神經電流 的英文怎麼說

中文拼音 [líshénjīngdiànliú]
離神經電流 英文
abnervalcurrent
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 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
  • 電 : Ⅰ名詞1 （有電荷存在和電荷變化的現象） electricity 2 （電報） telegram; cable Ⅱ動詞1 （觸電） give...
  • 流 : Ⅰ動1 （液體移動; 流動） flow 2 （移動不定） drift; move; wander 3 （流傳; 傳播） spread 4 （向壞...
  • 神經 : nerve; nervus
  • 電流 : current; galvanic current; electric current; electricity; current flow電流保護裝置 current protec...
  1. When examined using some inhibitors with respect to orll receptor, the nociceptin - induced current was depressed in amplitude by nocistatin ( a putative nociceptive precursor product ) and also by compb ( a non - peptidyl orll receptor antagonist ) to a different extent without a change in holding currents of sg neurons

    Noosoo h口對傳向脊髓背角sg神經元的興奮性和抑制性突觸傳遞的影響在i己錄電極內液中加入gdp書s 、艷離子和tea （主要用於阻斷突觸后的g蛋白和鉀通道的作用）的狀況下， nociceptin誘致的外向電流可以完全被阻斷。
  2. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  3. Aiming at the study actuality of fan performance monitoring system and analysis of fan performance curve changes affected by inlet - box and the different fixed - angles of guide blades in the course of installation, a fan flow monitoring model based on rbfnn in whole flow zone was established in this thesis. in the model, the method of no throttle and fan performance curve were used as basis. and on the basis of that model, fan performance curves of 4 - 73no. 8d were approached with experimental data of different speed, different opening - angles of guide blade and different resistance of pipeline, the precision and the error law of model were studied

    本文針對電站風機性能監測系統研究較少的現狀，在實驗的基礎上分析了現場加裝進氣箱和由於安裝造成的導流器葉片開度不一致對風機性能曲線的影響，並在此基礎上採用無節流方法測量流量，以風機調節性能曲線為依據，建立了基於徑向基函數（ rbf ）神經網路的風機流量全程監測模型；以實驗室4 - 73no . 8d離心風機為研究對象，探討了rbf神經網路差壓模型在變轉速、變導流器開度和變管網阻力等工況下的應用精度和誤差分佈規律；最後用visualc + +語言開發了風機性能在線監測系統。
  4. Modulation of bradykinin on atp - activated currents in isolated rat drg neurons

    緩激肽對大鼠背根神經節分離神經元atp激活電流的調製作用
  5. Inhibitory effect of caffeine on gaba - activated current in acutely isolated rat dorsal root ganglion neurons

    咖啡因對大鼠背根神經節急性分離神經元gaba -激活電流的抑制作用
  6. Judging by the different magnitude and direction of the wavelet packet coefficient modular maximum, we can select the single phase - to - earth line. the method using wavelet singularity detection theory to extract the fault time is discussed. a fault distance measurement algorithm combining wavelet analysis used for separating the character from the transient fault signal with artificial neural networks used for the nonlinear approximation from the transient character to fault distance is presented

    論文提出利用各個出線零序電流在頻帶上小波包系數模極大值的方向和大小的不同來實現故障選線，討論了利用小波分析的奇異性來判斷故障啟動時刻，提出將小波分析和人工神經網路結合，利用人工神經網路的非線性逼近能力，實現故障暫態量到故障距離的非線性映射，完成測距。
  7. The adoption of a fuzzy neural network control strategy that features satisfactory ability of self - learning and nonlinear approaching. the charging current traces dynamically the battery - dependent acceptable curves to maintain the charging process under optimal status

    -採用具有良好自學習能力和非線性逼近能力的模糊神經網路控制策略，使充電電流動態跟蹤離散的可接受充電曲線，使充電過程始終在最佳狀態下進行。
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