神經元模擬 的英文怎麼說

中文拼音 [shénjīngyuánmónǐ]
神經元模擬 英文
neuron simulation
  • 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
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 擬 : 動詞1. （設計; 起草） draw up; draft 2. （打算; 想要） intend; plan 3. （模仿） imitate
  • 神經 : nerve; nervus
  • 模擬 : imitate; simulate; analog; analogy; imitation; simulation模擬艙 boilerplate; 模擬電路 [電學] circ...
  1. In term of the control mechanism between tp and te, possibly, this special control method will provide the control theory some spark. based on the research and conclusion of the frog visual behavior, in term of the control mechanism among the tp, te and endbrain area, the author has done a detailed system analysis and use the computer 3d to simulate the frog vision behavior. this kind of visual behavior model could be taken as a good reference to study the formation of the vision and its characteristics

    文中通過對青蛙視覺行為數據的細致整理和總結，根據丘腦-前頂蓋（ tp ） ~ 1 、頂蓋~ 2和端腦區域里神經元集團之間的相互作用機制並結合具體的視覺行為，做了詳細的系統分析，並在此基礎上，使用計算機3d技術對青蛙視覺行為進行了模擬，這種直觀的視覺行為模型能夠為我們進一步研究視覺的形成和特點提供良好的依據和借鑒。
  2. A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier

    本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。
  3. Aim to eliminate the influences of backlash nonlinear characteristics, a second generation adaptive pid controller based on single neuron is given. the result of simulation and the debug of actual digital servo system shows that the controller can effectively get rid of the sustained oscillation of the system caused by the backlash characteristics, and can improve the system accuracy

    隨后，採用改進型單神經元自適應pid控制器來消除間隙非線性對系統的影響，模擬結果表明所採用的方法能有效消除間隙特性引起的系統自振蕩，並且能夠提高系統的跟蹤精度。
  4. By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model

    通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。
  5. A pid controller based on artificial neural network was designed to control the flow - rate of oxygen and the recycled exhaust gas. good control effects were obtained through simulation

    設計了基於單神經元的pid控制器對閉式循環柴油機的氧氣流量和廢氣再循環量進行了控制，通過模擬得出了較好的控制效果。
  6. Furthermore intelligent shift control thinking and method are introduced detailed, and the intelligence control of fuzzy neural network is led to construct the model of the speed control of engine, the model of decision of shift, the model of clutch joint velocity and the model of the whole amt gearshift, simulation is carried out

    詳細地描述了智能換檔控制的思路和方法，引入模糊神經元網路智能控制技術，構造發動機轉速控制模型、檔位決策模型、離合器接合速度控制模型及amt換檔系統模型，並進行模擬模擬。
  7. The main contribution of this dissertation is summarized as follows : 1. through improving the choice of learning rate and implementing online adjustment of control plus, a simple and rapid single - nerve adaptive control method with learning ability is proposed, the effectiveness of which is proved by simulation

    論文的主要工作如下： 1通過對學習速率選取的改進和控制增益的在線調節，提出了一種簡便而快速的具有學習能力的單神經元自適應控制方法，模擬結果驗證了其有效性。
  8. Evolutionary computation, neural computation and dna molecular biology technique are respectively corresponding to three different levels which are organism, nerve cell and molecular in the process of simulating brainpower. so we can see that the last method that base on simulating and studying on dna of biology is more probably to show up the essence of formation of brainpower

    從遺傳進化、人工神經網路和dna分子生物技術對智能的模擬過程看，它們分別對應生物群體、生物神經元和生物分子三個截然不同的層次，由此可以看到，基於對分子生物dna的模擬和研究將有可能更深刻地揭示智能形成的本質。
  9. To plants with big time delay, the neuron pid control method with fuzzy - tuning gain is proposed. being used to control the water temperature process, the simulation tests results prove the validity of the proposed method

    針對具有不確定性的大純滯后對象，提出了增益模糊自整定神經元pid控制方法，並以具有大純滯后特性的水溫調節過程為背景，進行了模擬實驗，模擬結果證明了該方法的有效性。
  10. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  11. Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,

    然後，應用單神經元自適應psd控制器改造調速系統的轉速環，代替傳統pi調節方式的轉速控制器。模擬表明，新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式，系統的魯棒性增強。在分析單神經元自適應psd控制器特性后，本文提出用對角遞歸神經網路辯識控制對象，為psd控制器提供靈敏度參數，從而構成一神經網路自校正控制方案。
  12. Taking the natural frequency arid the ratio of frequency drop as input characteristic parameters, crack damage in the cylindrical supporting shell of a portal crane is diagnosed and its length and position are forecasted, applying finite element emulation and artificial neural network technologies

    摘要應用有限元模擬技術和人工神經網路模型，以反映結構損傷程度的固有頻率和損傷的頻率下降率作為神經網路輸入的特徵參數，對門座起重機筒形支柱上出現的裂紋損傷長度和位置進行了綜合診斷和預測分析。
  13. 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，我們探討了一般的動態神經元的數學模型與脈沖微分方程的表示關系；對一種能用來模擬動態神經元動力學行為的整合-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。
  14. 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。
  15. It simulates the response characteristics of simple cells in biological visual cortex, and decomposes one image into sub - images with different resolutions and orientations in which every pixel represents the response of some neuron in the visual cortex

    該方法模擬生物視覺皮層中簡單細胞的響應特性，將單幅圖像映射成一系列分辨力及方向各異的子圖像，子圖像中每個像素代表了視覺皮層中某個神經元的響應。
  16. This paper aims to combine advantages of pid control and neuron, propose the neuron pid controller which is derived from an incomplete derivative pid algorithm and based on six learning rules in common use, viz. no surpervized hebbian learning rule, perceptron learning rule, supervized learning rule, improved hebbian learing rule, delta learning rule and capability index which is based on second type, and these rules come into being six control arithmatic. then simulate in object with lag

    本論文主要將兩者的優點結合，提出了神經元實現不完全微分pid ，並採用神經網路常用的六種學習規則，即無監督hebb學習規則、感知器的學習規則、有監督的hebb學習規則、改進的hebb學習規則、 delta學習規則和基於二次型性能指標的學習規則，形成六種控制演算法，以工業生產過程中常見的二階純滯后對象為例進行模擬。
  17. Single neuron modeling

    單神經元模擬
  18. Second, according to the characteristic of the instantaneous change of action potential accompanied by the nerve impulse, we use h - h equation to describe such change, and conduct simulation combined with sr theory

    然後根據產生神經沖動時動作電位全或無式瞬時快速變化的特點，採用h - h方程作為描述這種變化的神經元模型，結合隨機共振理論進行了模擬研究。
  19. It ' s difficult to study this using neuronal stimulation, because there ' s no easy way to ensure equivalence of the stimuli used to activate different regions

    由於很難確定激發不同區域的刺激是等值的，這很難用神經元模擬來探討。
  20. Fifthly, this paper proposes the model of three - rank chaotic neural network, its chaotic characteristic is simulated. the optimization parameter of non - line chaotic neural element model and neural network model with transient chaotic behaviors are discussed

    建立了三階混沌神經網路模型，並對其混沌特性進行了數值模擬；模擬分析了非線性混沌神經元模型的混沌特性；探討了暫態混沌神經網路模型參數的優化選取。
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