神經傳導器 的英文怎麼說

中文拼音 [shénjīngzhuàndǎoqì]
神經傳導器 英文
neuromittor
  • 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
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 導 : 動詞1. （引導） lead; guide 2. （傳導） transmit; conduct 3. （開導） instruct; teach; give guidance to
  • 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
  1. The distinguished scientist herr professor luitpold blumenduft tendered medical evidence to the effect that the instantaneous fracture of the cervical vertebrae and consequent scission of the spinal cord would, according to the best approved traditions of medical science, be calculated to inevitably produce in the human subject a violent ganglionic stimulus of the nerve centres, causing the pores of the cobra cavernosa to rapidly dilate in such a way as to instantaneously facilitate the flow of blood to that part of the human anatomy known as the penis or male organ resulting in the phenomenon which has been dominated by the faculty a morbid upwards and outwards philoprogenitive erection in articulo mortis per diminutionem capitis

    傑出的科學家盧伊特波爾德布盧門達夫特168教授先生曾提出下述醫學根據加以闡明：按照醫學上公認的傳統學說，頸椎骨的碎折以及伴隨而來的脊髓截斷，不可避免地會給予人身神經中樞以強烈刺激，從而引起海綿體的彈性細孔急速膨脹，促使血液瞬時注入在人體解剖學上稱為陰莖即男性生殖器的這一部位。其結果是：在頸骨斷襲導致死亡的那一瞬間169 ，誘發出專家稱之為「生殖器病態地向前上方多產性勃起」這一現象。
  2. Based on analyzing the multilayer perceptron neural network, it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function

    在分析多層感知器神經網路的基礎上，推導了雙曲正切函數為激勵函數的誤差後向傳播演算法。
  3. The human nose uses a complex system of interconnected receptors and neurons, which conduct signals to the brain for interpretation

    人的鼻子使用一個接受器和神經元相互連接的復雜系統，這個系統將信號傳導到大腦進行解釋。
  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. According to the utilized face database, three facial expression categories are defined : neutral, happiness and anger. the categorization architecture is based on a som. in order to eliminate influence of initial values and sequence of input examples in som, supervised learning is introduced into the training stage

    分類器的設計採用的是基於自組織神經網路的方法，為了克服傳統的自組織映射神經網路的訓練結果容易受訓練樣本的輸入順序和權值初值影響，而導致訓練結果不符合期望的問題，因此，在訓練過程中引入了監督機制，以使訓練結果與期望相符。
  6. In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm

    在多結構基元濾波器設計中，通過學習人-機交互選定的目標樣本，自動確定形態變換的組合規則及其結構元素，最終以神經網路形式構成濾波器。在結構參數的優化學習中，利用應用領域的先驗知識，分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。
  7. Aiming at the control feature of large ship, the authors designed a 2 - rank derivative multi - step neural network predictive model and the algorithm of the large delay ship ' s course, and presented a fuzzy control autopilot scheme based on the model with rbf neural network and fcmac controller, it solved problems of model online identification and controller online design in traditional adaptive control, so that the high precision output follow - up control of large ship with large delay and uncertain nonlinear features can be realized

    摘要針對大型船舶控制特性，設計了船舶航向的神經網路二階導數多步預測模型及其辨識和預測演算法，提出基於徑向基函數神經網路多步預測模型和模糊小腦模型關節神經網路控制器的大時滯船舶航向模糊控制自動舵方案，解決傳統自適應控制中模型的在線辨識和控制器的在線設計問題，以達到對具有大時滯、不確定非線性特性的大型船舶實現高精度輸出跟蹤控制。
  8. However, it ' s so difficult to get the formulae about the heat transfer in heat exchangers that this thesis will present the theories and tests of compact louvered fin heat exchangers used in the internal combustion engine from the point of view of experiment

    但由於散熱器傳熱過程的復雜性，純粹從理論上推導有關傳熱公式十分困難。本論文工作在選定板翅式機油散熱器作為研究對象后，從獲取試驗數據入手，通過採用神經網路演算法，對選定散熱器的傳熱過程進行了建模分析。
  9. In this paper, the auv is the object of the research. in order to overcome the negative effects of the non - linear part of kinematic model, sea current and wave during motion control, a new type of neural network : fuzzy cerebellar model arithmetic controller ( fcmac ), together with an on - line learning scheme based on the lyapunov stability theory, has been adopted in designing the new motion control system. the simulation results have been compared with those generated by a classic pid controller

    本文以auv為對象，針對其運動控制中模型非線性部分對控制性能影響較大及有海流、海浪等外界干擾等特點，採用一種新型神經網路：模糊小腦模型關節控制器（ fuzzycerebellarmodelarithmeticcontroller ）並結合基於李雅普諾夫原理而推導出的學習演算法設計auv的運動控制系統，並與傳統pid控制器進行了模擬比較。
  10. Then the de - lay differential method of detecting the milling cutter breakage is put forward according to the above research work and the changing characteristics of power signal and vibration displacement signal when the tool breakage occurs, the monitoring stategy of sensors fusion based on the artificial neural network is put forward. the monitoring system of milling cutter breakage based on the information fusion of the power signal and vibration displace - ment signal has been developed. the diff culty in giving a dectecting threshold due to the changeable character of character of cutting condition has been solved, and a good reliability is ensured over a wide range of conditions

    在上述研究工作的基礎上，提出了基於人工神經網路用於多傳感器信息融合的監測策略，開發研製了以機床主電機功率信號和主軸振動位移信號特徵參量融合的銑刀破損監測實驗系統，解決了銑削過程中切削條件多變導致監測閾值難以設置的難題，保證了在較寬的工作范圍內具有較高的識別準確率。
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