隨機神經網路 的英文怎麼說

中文拼音 [suíjīshénjīngwǎnglù]
隨機神經網路 英文
stochastic neural network
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 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
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 隨機 : random stochasticrandom
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. A parameter learning method for stochastic fuzzy

    隨機模糊神經網路的參數學習演算法
  2. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  3. Non - linear dynamical systems and chaotic phenomena. random processes and diffusion. ising model and lattice gas. quantum systems and electronic structures. percolation, fractal and self - similarity. neural network and genetic algorithm

    非線性動力系統與混沌現象、隨機過程和擴散現象、易幸模型與格子氣體的統計模擬、量子系統與電子結構、展透、碎形與自我類似、類神經網路與基因演演算法。
  4. The edge detection approach based on cp neural network is valid to overcome the randomness of fragment dispersing and complexity of distribution of perforation holes. applying neural network approach, the influence of the negative factors is reduced in artificial detection and statistics. in this way, the target image was detected exactly and successfully

    基於cp神經網路的邊緣檢測方法有效地克服戰斗部破片穿靶試驗中破片飛散的隨機性和破片孔分佈的復雜性，從而減小了人為檢測和統計中諸多不利因素的影響，完成對靶板圖像的準確檢測。
  5. After studying the prediction method and considering the complex, random and nonlinear factors that affect the demand load of heating, the ann technology is adopted. different from the general analysis in technology and economy, it is for the first time to combine the prediction in method of artificial neutral network with optimization in use of dynamic planning principle for the running analysis of the electric boiler

    考慮到影響供熱採暖需求負荷的因素復雜且具有隨機性和非線形性，在對預測理論進行研究和對各種預測方法進行比較后，本文首次將基於人工神經網路的負荷預測與基於動態規劃原理的優化方法相結合，用於蓄熱式電鍋爐系統的經濟運行策略研究。
  6. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  7. 2 artificial neural network, which is one of services provided from the matlab platform, is applied to simulate the relationship between input and output in the system in order to recognize the system so that the performance function can be transformed into the random variable from the force

    在matlab平臺上利用人工神經網路來模擬系統的輸入與輸出關系，對系統進行識別，從而使大壩功能函數由對應于的應力表達直接轉化為外界隨機變量來表達。
  8. Then get " m " groups of figures. use real - number coding and take the neural network weight factor as the chromosome of ga

    本文把隨機抽取的m組權值分配到m個神經網路中。
  9. Then the tendency and the hot aspect of research have been discussed. along with the further development of intelligent robotic technology and artificial intelligence theory, multi - agent welding system / pc controller and composite technique of the syncretism of fuzzy and nn should become the hot aspect of research

    論述了焊接機器人技術發展的趨勢及研究的熱點問題，即隨著智能機器人技術和人工智慧理論的進一步發展，多智能體焊接系統、焊接機器人中基於pc的控制器和模糊邏輯與神經網路的融合技術將成為研究的熱點問題。
  10. The bp neural network is applied to the recognition of wear particles, and a bp neural network sorting system expected to recognize severe wear particle, cutting wear particle, normal wear particle and fatigue wear particle is designed and trained. 6. the function of the neural network ' s hidden layer is analyzed

    將神經網路應用於磨粒識別，設計磨粒分類器，在網路學習中運用改進的bp模型，識別嚴重滑動磨損磨粒、切削磨粒、正常磨損磨粒和疲勞點蝕磨粒，隨機選取50個樣本對分類器進行訓練。
  11. In the control scheme using neural network, the control of flexible manipulator is separated into angle - following control of slow subsystem and vibration - suppressing control of fast subsystem based on singular perturbation and time decomposition. moreover, the paper discusses the structure and the algorithm of neural network plus fuzzy pd control of tip vibration. finally the performance of designed methods is validated by simulation

    對于神經網路控制，首先根據奇異攝動和兩時標分解，將柔性連桿機械臂的控制分解成等效剛性臂慢子系統的角跟隨運動控制和快子系統的消振控制，論文給出了神經網路+末端振動模糊pd控制的結構和計演算法，並通過實驗研究驗證了提出設計方法的性能。
  12. 3 ) the six parameters of the asphaltic concrete core dam is inversed by least square, bayes random and bp neural network method. the sensitivity analysis of the parameters is studied

    分別用最小二乘法、 bayes隨機法和bp人工神經網路法反演瀝青混凝土心墻材料的六個參數，並對參數的敏感性進行研究。
  13. The purpose of this thesis is to use artificial neural networks ( ann ) to identify the aerodynamic parameters. first introduced in this paper is the basic theory of ann and wind engineering in bridge, then ann is presented to identify the aerodynamic derivatives of ideal thin plate. a back - propagation ( bp ) ann is established and trained for many times to contrast the influences of some factors on the prediction results

    首先對人工神經網路和橋梁風工程的基本理論作了簡單的介紹，接著採用人工神經網路識別了理想薄平板的氣動導數，並分析了數據處理方式、隱層單元數、訓練次數、隨機賦值次數、樣本數量對訓練結果的影響，討論了訓練的穩定性。
  14. In the past, the predicted results produced by neural network models were often evaluated by using the relative error has been widely applied to this problem

    過去，對神經網路預測結果的評價廣泛採用相對誤差方法。對于有隨機因素影響的樣本數據，該方法已經不再適用。
  15. 3. apply random net and neural net to evaluation and validation of civil aircraft maintainability, validate maintenance time of aircraft lighting system and landing gear system

    將隨機網路和bp神經網路應用於民用飛機維修性的評估與驗證中，較好地驗證了飛機照明系統和起落架系統的維修時間。
  16. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  17. A registration algorithm for sensor alignment based on stochastic fuzzy neural network ( snff ) is presented

    提出了基於隨機神經網路的傳感器配準方法。
  18. Okay you ' ll say this is what we can do simply by training some randomly initialised neural network ( nn ) with a supervised or unsupervised algorithm

    好的，你也許會說我們僅要做的就是訓練一些隨機初始化的有或者沒有監督演算法的神經網路. 。
  19. Thus, we have deeply studied the applications of stochastic theory in protein motor and fhn neuron model, and obtained some important results, especially the opposing role of the amplitude and correlation strength in protein transport, the locked phenomenon in fhn neuron model, the dependence of the effect on initial condition, the phase transition and resonance in globally coupled neuron system

    為此，我們對隨機理論在生物馬達蛋白和fhn神經模型上的應用進行了較深入的研究，取得了一些有重要意義的成果，特別是發現：漲落勢的幅值和關聯強度對蛋白輸運起著相反的作用；噪聲誘導fhn神經電位的鎖定現象；噪聲關聯導致雙穩系統對初始狀態的記憶功能；噪聲作用下全局耦合fhn神經網路的共振和相變現象。
  20. Three types of artificial neural networks, namely radial basis function network, feedforward network, stochastic network, and their application in the analysis of electromagnetic stop band structure in coplanar waveguide have been discussed

    本文研究了以下三種人工神經網路：徑向基函數網路、前向網路、隨機網路，並用於分析共面波導中的電磁阻帶結構。
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