共軛網路 的英文怎麼說

中文拼音 [gòngèwǎnglù]
共軛網路 英文
conjugatenetwork
  • 共 : 共動詞[書面語]1. （圍繞） surround2. （兩手合圍） span with the hand
  • 軛 : 名詞（牲口拉東西時架在脖子上的器具） yoke
  • 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...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Simple conjugation - gradient bp algorithm for feedforward neural networks

    前饋神經網路的一種簡單共軛梯度學習演算法
  2. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  3. Abstract : a cad tool based on a group of efficient algorithms to verify, design, and optimize power / ground networks for standard cell model is presented. nonlinear programming techniques, branch and bound algorithms and incomplete cholesky decomposition conjugate gradient method ( iccg ) are the three main parts of our work. users can choose nonlinear programming method or branch and bound algorithm to satisfy their different requirements of precision and speed. the experimental results prove that the algorithms can run very fast with lower wiring resources consumption. as a result, the cad tool based on these algorithms is able to cope with large - scale circuits

    文摘:介紹了一個基於標準單元布圖模式的電源線/地線網路的輔助設計集成工具.它應用了一系列高效的演算法，為用戶提供了電源線/地線網路的設計、優化和驗證的功能.非線性優化技術、分枝定界演算法和不完全喬萊斯基分解的預優共軛梯度法是該工作的三個主體部分.用戶可以選擇使用非線性規劃的方法或者幾種分枝定界方法來滿足他們對于精度和速度方面的不同需求.實驗結果表明，文中所提供的演算法可以在很快的運行速度下實現更低的布線資源佔用.因此，在這些有效演算法基礎上實現的輔助設計工具具有處理大規模電路的能力
  4. This paper discuss a modeling and predicting means for nonlinear systems proceeding from nonlinear systems modeling and predicting theory, whch is based on drnn model. this means overcomes the fact that ar model is used only in linear systems, at the same time it connects itself with approximation theory symbolic statistics and conjugate gradient algorithm, and formulate a system of large watercrafts motion modeling and predicting which is based on drnn model, and simulate it

    本論文從非線性系統建模與預報的理論及應用觀點出發，系統地闡述了一類適用於非線性系統的建模預報方法? ?基於drnn模型的建模預報方法，克服了ar模型僅局限於線性的情況，同時結合逼近論、數理統計等知識，運用共軛梯度演算法，提出並建立了基於對角回歸神經網路的大型艦船運動建模預報系統，並進行了模擬。
  5. Based on the research work on matrix solution techniques, we propose a incomplete cholesky pre - conditioning based conjugate gradient solution technique. this technique can take advantage of the special properties of power grid and solve the circuits in a fast speed

    在深入研究地基礎上，本文提出了基於不完全cholesky分解的共軛梯度電路求解演算法能夠實現電源網格的快速求解。
  6. The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test

    同時，文中還構造了三層的前向神經網路，以小波包分析提取的故障特徵向量作為網路的訓練樣本數據，採用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播演算法來對神經網路進行訓練，並採用試驗的方法調整神經網路的初始值。
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