神經元計算機 的英文怎麼說

中文拼音 [shénjīngyuánjìsuànjī]
神經元計算機 英文
neuron computer
  • 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...
  • 機 : machineengine
  • 神經 : nerve; nervus
  • 計算機 : computer; calculator; calculating machine; computing machinery; electronic wizard; processor; pro...
  • 計算 : 1 （求得未知數） count; compute; calculate; reckon; enumerate 2 （考慮; 籌劃） consideration; pla...
  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. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  10. Based on the design and development of computer - aided mould and fixure man - hour quota system ( cfmh ), a method of calculating man - hour quota based on artificial neural networks ( ann ) is proposed in this thesis and a sub - system of calculating man - hour quota based on ann is also implemented

    本文結合計算機輔助模、夾具工時定額系統（ computer - aidedmouldandjigman - hourquotasystem ， cfmh ）的研製與開發，研究了基於人工神經網路模型的工時定額計算方法；並開發了相應的神經網路模型定額計運算元系統模塊。
  11. By analyzing the principle and calculation methods of man - hour quota, the work flow and system framework of cfmh are considered and designed. especially, the sub - system framework and funtion of calculating man - hour quota based on ann is studed. 2

    研究了工時定額的制定原理及計算方法，介紹了計算機輔助模、夾具工時定額系統的工作流程和系統結構，論述了神經網路模型定額計運算元系統的結構和功能。
  12. A single neural cell self - adaptive controller is studied. furthermore, a direct digital control system of srm based on this single neural cell self - adaptive controller is designed by using mcs - 80c196kb microprocessor

    本文對單神經元pid自適應控制器進行了模擬，並將此演算法應用於sr電機直接數字控制系統中，以intel公司的mcs - 80196kb為控制器，進行了軟硬體的設計和調試。
  13. The simulation results show that the improved control method has some excellent features, such as high accuracy and robustness. in the end, a single neural cell self - adaptive controller is studied ; furthermore, a control system of srd based on the single neural cell self - adaptive controller is designed by using 80c196kb microprocessor

    本文還對單神經元自適應pid控制演算法進行了研究和模擬，並將該演算法應用於sr電機調速系統中，以80c196kb單片機為控制器，對于該調速系統進行了軟、硬體的設計。
  14. In this paper, the artificial neural networks are considered as a structure set of the neurons. based on this point of view, we make a comprehensive and deep researching on the hopfield model neural network of associative memory with hebbian learning in three aspects, i. e., analyzing, describing and computing of the symmetry of the system, thus discovering the storing mechanism of the hebbian learning rule. which give a deeper understanding to the associative memory mechanism of artificial neural network

    本文將人工神經網路視為神經元的結構集，並從這個基本觀點出發，從三個方面，即對稱性的分析、表示以及計算，對hebb型的離散hopfield模型神經網路進行全面的、深入的研究，揭示了hebb法則這種特殊的存儲規則的機理，並以此來達到加深對整個網路的聯想記憶機理認識的目的。
  15. Two fuzzy neural network control systems are designed : fuzzy neural network self - learning control system and fuzzy neural cell complex control system

    分別設計了模糊神經網路自學習控制和模糊單神經元復合控制系統，並進行了計算機模擬。
  16. The results of simulations show that the effects of these three intelligent controllers are all far better than that of pid control, and the dynamic and steady performances of the later two controllers are better than the common fuzzy control. in the end of the paper, a type of intelligent temperature - humidity controller is developed, the hardware structure and software algorit hm of this controller are introduced

    計算機模擬實驗結果表明：這三種智能控制器在純滯后系統中的控制效果均優于傳統的pid控制，其中規則自調整模糊控制器、基於單個神經元的自適應模糊控制器的動、靜態性能和魯棒性均比普通模糊控制器有較大幅度的提高。
  17. Method for linear circuits with element tolerances are also presented. by this method, the double fault general characterization can be calculated by single fault general characterization which can be calculated by single fault feature. this method makes simulation before test more simple. according to the actual project requirements, practical bp algorithm is presented and realized on personal computer. after further optimization and improvements, a subhidden layer bpnn algorithm which support unlimited units is realized

    文中給出的線性電路單故障特徵可根據電路正常狀態下參數值來計算;給出的線性電路雙故障特徵可由元件的單故障特徵來獲得，簡化了測前模擬工作。根據實際項目的要求，在pc機上實現了實用的bp演算法。經過改進，實現了支持無限元的子隱層bp神經網路的核心演算法。
  18. 4 in the post processing of correlation signal, in order to improved the recognition possibility to the distorted multi - object, we increase the amount of information of roi and choose the optimal numbers of neurons. so the roi could include enough feature but does not make the cpu burdened too much. on the other hand, a new method of selecting roi is realized, as a result, recognition possibility was increased and the number of samples for ann trainning decreased

    4 、在相關信號后處理中，為了增強人工神經網路（ ann ）對畸變多目標的判別能力，一方面增大了感興趣區域（ roi ）的信息量、優選了神經元數目，使roi既能充分包含相關峰的特徵，又不至於過分增加計算機的計算負擔；另一方面，提出並實現了一個從眾多的roi中選取最有效的少數roi的演算法，不僅大大提高了ann的識別效果，還使供ann訓練的采樣數目降低一個數量級。
  19. The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient

    文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法，系統地研究了它們在圖像壓縮編碼中的應用，並進行了計算機模擬，實驗結果表明這些演算法是實際有效的。
  20. The deep knowledge repository of temperature profile is yielded based on a large number of numerical solutions of the determinant mathematical model, which increases the " extrapolative ability " and " reliability "

    從基於過程機理模型的數值計算結果出發，結合中試裝置的實時操作數據建立了擬定態床層溫度的人工神經元網路深層知識庫，用於增強神經網路模型的「外推能力」和「可信度」 。
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