神經元計算 的英文怎麼說

中文拼音 [shénjīngyuánjìsuàn]
神經元計算 英文
nc neurocomputing
  • 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
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 神經 : nerve; nervus
  • 計算 : 1 （求得未知數） count; compute; calculate; reckon; enumerate 2 （考慮; 籌劃） consideration; pla...
  1. Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node

    首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。
  2. 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。
  3. We deduce frondose algorithm of three layers bp neural networks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo at the same time, this dissertation sums up things that conventional bp algorithm is improved on considering disadvantages of it

    3推導了常用的三層bp神經網路具體演算法，討論了實際預測應用中神經網路設計方面的幾個重要問題，如隱層數、隱層神經元數、訓練次數、初始權值、輸入節點數以及輸出節點數的確定。同時，針對傳統bp演算法存在的各種各樣的缺點，文中綜述了對其改進的情況。
  4. 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。
  5. The development of fieldbus technology made lonworks field bus outstanding in all kinds of fieldbus. this paper simply introduces some kinds of common using fieldbus and the important position and influence of lonworks fieldbus in all kinds of fieldbus, carefully describes the technology core of lonworks technology, puts great emphasis on the introduction of the development and design of public security node of intelligent district which adopts computer, communication and control technology, carefully designs the interfaces of hardware circuits. the public security node of intelligent adopts 8031 single chip as its main processor to complete the application program of user, which mainly collects, process and control all kinds of field signal, and neuron chip 3150 as its slave processor to communicate with other nodes on field network, which works under parrel slave a mode

    現場總線技術的發展使得lonworks技術脫穎而出，本文簡要介紹了常用的幾種現場總線的概況以及lonworks技術在現場總線技術中的地位和影響，對lonworks技術的技術核心：神經元晶元、 lontalk協議、 lonworks收發器、 lonbuilder及nodebuilder進行詳盡的描述；重點介紹了集先進的計算機技術、通信技術、控制技術為一體的智能小區安防節點的開發與研製，對節點硬體電路的各種介面進行了詳盡的設計。本文設計的智能小區安防節點採用單片機8031作為主處理器來完成用戶的應用程序，主要負責對各種現場信號進行採集、處理及控制，工作在并行從a方式下的神經元晶元mc3150作為從處理器，主要完成與現場網路上的各節點及中心控制室之間的通信工作。
  6. Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace

    通過對pid 、模糊、單神經元等控制策略的分析比較，將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合，改進了單神經元控制器演算法，可以有效抑制擾動，減少斷弧、短路等現象的發生，使系統的控制效果和魯棒性都得到增強，對電弧爐控制系統的設計也具有一定的應用參考價值。
  7. The neuron control method with self - tuning gain is proposed for a ph neutralization process. in this control system, the fuzzy t - s model is used to predict the control signal. the neuron controller gain is calculated according to the parameter estimation and experience formulas

    針對具有嚴重非線性特性的ph中和過程，提出了一種模糊增益自整定神經元控制方法，這種方法採用t - s模糊推理估計下一時刻的控制量，並通過參數估計和經驗公式來計算出神經元控制器的增益。
  8. In this paper, we studied the deterministic mechanism of isi with the unstable period orbit ( upo ) ; we tested many isi data from different model with the method of approximate entropy ( apen ) to study the method which is used in testing the degree of complicacy of isi and we built up a system including hardware and software for our lab to view and record action potential, firing frequency and isi in real time. results 1. spontaneous firing patterns were observed from neurons of supraoptic nucleus ( son ) in hypothalamus with the method of patch clamp

    本研究通過對大鼠視上核神經元自發放電的非穩定周期軌道的計算，討論了isi的確定性問題；利用近似熵的方法對多種神經放電的isi資料進行了復雜度的測量，討論了這種方法在isi的復雜度測量第四軍醫大學碩士論文中的應用；另外，還開發出一套記錄原始放電和isi的程序，解決了採集isi的問題。
  9. The fuzzy layer of the hybrid fnn include two kinds of neurons, one is gaussian fuzzification neuron which used to give the continuous input an fuzzy membership value, another is a presented fuzzy cluster neuron which also used to give the discrete input an fuzzy membership value

    該混合模糊神經網路的模糊化層除了具有模糊化神經元，還加入一類模糊聚類神經元。模糊聚類神經元通過預先計算的模糊聚類隸屬度矩陣來輸出對應于離散輸入的模糊化值。
  10. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
  11. To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis

    為了逐一解決這些困難，運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理，利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。
  12. 5. the control systems of the heater are designed by the adaptive fuzzy neuron control arithmetic. the step response curve is got. the results show their nice performances

    針對實驗室電加熱爐系統，使用自適應模糊單神經元控制演算法進行控制系統的設計，得出階躍響應曲線，取得了滿意的控制效果。
  13. Signal layer represent links between the nerve cells, knowledge layer represent rules and reasoning of expert, conception layer is the medium layer and connect signal layer and knowledge layer, therefore integrated symbol computing ability of es with link features of ann into one body to make brain model more intelligent

    刺激層體現神經元的連接，知識層體現專家的規則、推理，從而將專家系統的符號計算和神經網路的連接主義兩者有機的結合，並在其基礎上構建了形體的表徵模型、推理方法，實現了形態構成知識的產生，為人腦模型的「智能」能力的實現和應用奠定了基礎。
  14. In course of training the network, the structure of the network has been analysed. using the nonlinear theory, the node of the hidden layer is ascertained. by comparing this method is very efficient

    （ 5 ）在網路訓練過程中，對神經網路結構進行了分析，建立了計算輸出和理想輸出關系非線性方程組，依據非線性方程理論闡述設計變量、樣本數量和輸出層單元數量的關系，確定了隱層神經元的數量，經比較該方法很有效。
  15. The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively

    對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。
  16. The optimization algorithms in conventional calibration field have the shortcoming that the computing quantity is huge. in order to improve it, a single adaptive neuron algorithm was developed in conventional camera calibration in this dissertation, and a calibration algorithm considering radial and tangent distortion based on single adaptive neuron is proposed

    傳統的標定演算法中各種優化演算法存在著計算量大的不足，本文將單個自適應神經元應用到攝像機傳統標定中，提出了一種考慮徑向畸變和切向畸變的攝像機標定演算法，它與其他優化演算法相比具有簡單實用、計算量小的優點。
  17. And it would be applied to other blast furnaces after some modifications. to improve the quality of the model, some methods should be used in future : l. impoving the database and making it have more information. 2. considering the mass and thermal accumulation and calculating the effect of the data of every period

    2 、模型在作動態計算時，使用日平均數據來調整參數，而用即時的數據來計算預測值，這種方法盡管有一定的科學性，但要提高模型的準確性，必須考慮到高爐內物料和熱量的積累，考慮各個時段入爐物料對化學平衡和熱平衡的影響，根據專家系統和神經元網路的方法，得到更為完善的模型。
  18. ( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results

    （ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。
  19. Bp model can quite improve the accuracy of pricing result ; 2. need to confirm the number of the hidden layer of neuron rationally ; 3. should confirm population size rationally while optimizing ann ; 4

    基本結論如下： （ 1 ） bp模型能夠提高定價結果的準確度；武漢理工大學碩士學位論文（ 2 ）建模需要合理確定隱含層神經元數目; （ 3 ）優化網路應恰當確定初始群體規模; （ 4 ）優化網路需要合理設計交叉運算元。
  20. Neuron control is easy to calculate and ensure the real time control, and it is also self - adaptive

    單神經元計算過程簡單，實時性容易保證，又具有自學習能力。
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