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layer forwarding中文

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用"layer forwarding"造句"layer forwarding"怎麼讀
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  • 二層轉發
例句與用法
  • The engine controller is in fact a multi - dimensional , complicated non - linear mapping device of the inputs and outputs . therefore with the ability of mapping non - linear and complex functions , the multi - layer forward neural network can be used to establish these relationships based on the experimental data
    發動機控制器實際上就是一個多維的、復雜的傳感器輸入與控制量輸出的非線性映射裝置,因此,可以利用多層前向網絡所具有的映射復雜非線性函數的性能,在大量數據的基礎上建立起該映射關系。
  • 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絡的輸入變量;其次,利用對原有bp網絡訓練算法基礎上的改進型算法(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采用變學習率,與此同時隱含層神經元個數采用動態形式) ,通過樣本訓練使網絡結構模型達到最優。
  • The paper firstly combined the aerodynamic model , pollutant model , traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly , the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure , after the learning of sample data , the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly , the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program , and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally , the adaptive ability of the neural - fuzzy control system is discussed
    本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序,利用該程序產生不同交通流下的最優樣本數據;然后,將多層前向神經網絡與模糊控制進行結構等價型融合,通過學習最優樣本數據,建立公路隧道縱向通風神經模糊控制系統;之后,用此模糊控制模型替代最優風機開啟臺數選擇模型建立基于模糊控制的隧道通風仿真程序,在matlab下模擬仿真不同交通流下的隧道通風以測評控制效果;最后,對神經模糊控制系統的適應性進行了討論。
  • 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絡,以小波包分析提取的故障特征向量作為網絡的訓練樣本數據,采用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播算法來對神經網絡進行訓練,并采用試驗的方法調整神經網絡的初始值。
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