神經動力學 的英文怎麼說

中文拼音 [shénjīngdòngxué]
神經動力學 英文
neurodynamics
  • : Ⅰ名詞1 (神靈) god; deity; divinity 2 (精神; 精力) spirit; mind 3 (神氣; 神情) expression; l...
  • : 經動詞[紡織] (把紡好的紗或線梳整成經紗或經線) warp
  • : Ⅰ名1 (力量; 能力) power; strength; ability; capacity 2 [物理學] (改變物體運動狀態的作用) forc...
  • : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
  • 神經 : nerve; nervus
  1. Besides, the math - ematical, particularly, the dynamical methodology in the developments of biolog - ical neurology is discussed, and several mathematical biology models are intro - duced

    同時,我們對生物中數建模的發展作了介紹,闡述了用的方法研究其中數模型的重要性
  2. Clinical significance of intraoperative palmar temperature and brachial artery blood flow monitoring during sympathectomy

    脈血流和掌溫檢測在胸交感干切斷術中的臨床意義
  3. In this paper, the rotating machinery at high speed is studied. there are discussed about numerical calculating methods for non - linear dynamical system, the rotor system radial impact and rubbing dynamics behavior analysis having the nonlinear rigidity on the unsteady and non - linear oil film, the rotor system dynamics behavior analysis with bending - torsional - pendular coupling vibrations, application of wavelet, fractal and network in fault diagnosis. the main works in this paper are as follows : ( 1 )

    本文以高速旋轉機械為主要研究對象,系統、深入地研究了非線性系統的數值計算方法、具有非線性剛度的轉子系統在非穩態非線性油膜作用下的徑向碰摩行為、轉子彎扭擺耦合振分析、小波和分形理論及人工網路在故障診斷中的應用問題。
  4. Based on the recent finding on biovision, this paper made a detailed research on the motion biovision model. how biovision system to percept motion and motion form is the topic in this paper

    本論文在國際上生物視覺的新近研究成果的基礎上,對運生物視覺機制進行了神經動力學建模和計算機模擬的研究。
  5. Many researches indicated that nitric oxide ( no ) > vasoactive intestinal polypeptide ( vip ), calcitonin gene - related peptide ( cgrp ) ^ substance p are main neurotransmitters for penile erection

    所以近來的研究重點從陰莖血流轉向陰莖遞質研究。有研究表明,一氧化氮( nitricoxide
  6. This thesis has studied the dynamic features of a class of the discrete - time neural network model of two neurons, such as the convergence and periodicity and etc. the function of the neuron signal transmission in this model, which belongs to three piecewise constant argument, indicates the following charactersif the signal of one neuron on the network is active between a and b, it will produce invariable encouragement effect on another neuron ; if the signal of one neuron is lower than a, it will produce invariable restrain effect on another one, if the signal of one neuron is higher than b, it will produce no effect on another one

    本文研究了一類二元離散人工網路模型的解的收斂性及周期解的存在性等特徵。該模型的元信號傳遞函數是三段常數不連續函數。這種信號傳遞函數表明如果某元的信號在a與b之間活躍,則它對另一個元產生恆定的激勵效果,如果某元的信號低於a ,則它對另一個元產生恆定的抑制效果,如果某元的信號高於b ,則它對另一個元不產生作用。
  7. According to the nonlinear dynamical features of isi series, the firing pattern can be described as : ( 1 ) periodic firing pattern, which was characterized by repeated appearance of isi at regular interval. ( 2 ) bursting firing pattern, which was characterized by bursting interrupted by silent periods. isis of the action potential during the bursts were confined to a banding area

    在觀察到的101例損傷drg元自發放電中,依據其作電位isi的特徵,可分為周期,其isi基本相等;陣發,在短陣放電之間有不規則的間斷;不規則,其isi互不相等;整數倍,其isi為基礎isi第四軍醫大碩士論文的整數倍等四種基本型式。
  8. Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network

    ) s _ n為手段,研究了網路狀態空間在群g作用下各點的運情況,證明了群g作用下的不變性。證明了當元的激活函數f為奇函數時, hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系;同時,我們還證明了:網路穩定態集vf同一s _ h軌道中的兩個穩定態的行為(能量和吸引域大小)相同;兩個等距網路h和h 1 = g ? h , ( ? ) g (
  9. Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation

    本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上,綜合運用概率理論、結構可靠性理論、混凝土結構理論、網路理論、結構理論等基本理論和方法,結合實際檢測數據,按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究,完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。
  10. Based on visual rice growth models ( vrgm ) and with rice tillering as examples, the back - propagation artificial neural networks ( bp ) and radial basis function networks ( rbf ) were established to simulate the rice growth and to compare with statistical model and dynamic model

    3 、在研製可視水稻生長模型的基礎上,進一步利用人工網路bp模型和rbf模型,對水稻生長進行了模擬與模擬。並以水稻群體莖蘗態為例,與水稻群體分蘗的統計模型和模型進行了比較。
  11. For the three stages of interfacing operation, analyzed kinematics of single manipulator catches the object ring, two arms calibrating centering and four arms constructing a parallel mechanism to haul lowering. single manipulator ' s counter kinematics was solved by adopt neural net method, and two arms corresponding counter dynamics was analyzed as well

    針對對接作業的三個階段,分別對單個機械手捕捉目標環、雙手協調調整對中及四隻手構成並聯機構拉降的運進行了分析;採用網路求解單個機械手的逆運,並分析了雙手協調的逆
  12. The relationship between gastric motility and autonomic neuropathy in type 2 diabetes

    2型糖尿病患者胃與植物病變關系的探討
  13. Asymptotic behavior of three differential systems tang hong - ji abstract : the system ' s asymptotic behavior is the solutions " behavior at / - > - i - xxlt iiicluds the stability of the solutions, the attractivity of the solutions, the oscillation of the solutions. the purpose of this paper is to investigate the asymptotic behavior of throe differential systems

    這些性質揭示了系統的長期行為,因而在生態網路等眾多領域有著廣泛的應用本文研究了三類微分系統解的漸近性質。在種群的研究中,種群的持續生存是最基本,最有趣的課題之一。
  14. Based on the aerodynamics, control, structural dynamics model of smart rotor in frequency domain deduced and the determination for the number of neurons in hidden layer, the neuro - emulator using multiple independent miso neural networks with its deduced matrix expression for the smart rotor is set up. the rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling

    試驗結果驗證了該方法的可行性,在建立了帶有主控制后緣附翼的智能旋翼系統氣-控制-結構模型的基礎上,提出了適用於智能旋翼建模的多網路並聯型式的頻域模型,並推導出其矩陣表達式,探討了隱含層元數的確定方法。
  15. On the basis of kineto - elastodynamics ( ked ), modern control theory and neural networks ( nn ), this dissertation studies, in a systematic way, the theory and the methods of the nn based active vibration control of flexible linkage mechanisms whose flexible links are incorporated with piezoceramic actuators and strain gauge sensors

    本文首次將機構運彈性、現代控制論及網路理論相結合,以具有壓電陶瓷作器與電阻應變計傳感器的平面彈性連桿機構為研究對象,系統地開展了基於網路的彈性連桿機構振控制的理論、方法與實驗研究。
  16. 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網路的泛化能的因素,提出了一種新的結構自適應網路習演算法,在新方法中,採用了遺傳演算法對網路的結構參數(隱層節點數、訓練精度、初始權值)進行優化,大大提高了網路的泛化能和知識態獲取自適應能;其次,構造集成網路,引入數據融合演算法,實現了基於集成網路的融合診斷,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,將粗糙集理論與網路相結合,研究了粗糙集-網路的知識獲取方法。
  17. And the controller based on vhdl ( very high speed integration circuit hardware description language ) was designed under the fpga ( field programmable gates array ) integration environment with the values gained from the train of the neural network using matlab

    柔性手指網路控制器是在已對氣柔性手指進行運分析的前提下,使用matlab對網路進行試訓,依據訓練所得的權值和閾值,在現場可編程門陣列集成環境下,基於超高速集成電路硬體描述語言完成的。
  18. The perturbed theory given in chapter 2 and a new definition on sensitive dependence on initial values of impulse - interval functions are adopted. from the abstract to real, we discuss a real model, named integrate - and - fire circuits, simulating the dynamics of in - formation processing in neurons. by the means of marotto theorem, we prove ide g vii the existence of chaotic dynamics in this model with the parameters in some restricted regions

    接著,我們探討了一般的元的數模型與脈沖微分方程的表示關系;對一種能用來模擬行為的整合-激發電路的模型作了分析,我們構造了合理的時間映射,分析了時間映射所具有的性質,並給出了該時間映射是馬羅陀意義下混沌的相應參數選取的具體演算法與表示式。
  19. It also provides a novel explanation of the signal processing mechanism of the neural system in the aspect of nonlinear dynamics

    同時k網路也從非線性神經動力學的角度,解釋了整個系統的信息處理機制。
  20. This paper proposes a novel tracking control approach for nonholonomic mobile robots by integrating the neural dynamics model into the backstepping technique, and an adaptive parameter model is utilized to implement robust tracking

    摘要提出了一種針對非完整移機器人軌跡跟蹤控制的新方法;該方法將神經動力學生物激勵模型集成到後退控制方法中,同時採用自適應參數模型來實現具有魯棒性的跟蹤控制。
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