瞬時響應函數 的英文怎麼說

中文拼音 [shùnshíxiǎngyīnghánshǔ]
瞬時響應函數 英文
instantaneous response function
  • 瞬 : Ⅰ名詞（眼珠一動; 一眨眼） wink; twinkling Ⅱ動詞（眨眼） wink
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  2. Firstly, wall ’ s transfer matrix is deduced by laplace transformation based on 3r2c thermal network model. secondly, frequency response of transfer matrix is calculated. thirdly, we make the frequency response of transfer matrix of stimulation model equate the theoretical frequency response of wall transient heat conduction by applying appropriate identification algorithm, from which we can obtain every polynomial ’ s coefficient of model transfer function, then each parameter of resistance and capacitance is calculated by appropriate optimization algorithm

    首先，根據模擬熱流網路模型用拉普拉斯變換推出墻體的傳遞矩陣;然後，計算傳遞矩陣的頻率響應;最後，採用頻域回歸方法求出模型傳遞函數各次項的系數，進而通過一定的優化演算法確定模型的各個熱阻、熱容參數，使通過模型建立的多項式s -傳遞函數與墻體瞬時傳熱的理論超越s -傳遞函數完全等價。
  3. It will present a new method - frequency - domain regression ( fdr ) method based on system identification theory for calculating transient heat flux through multi - layer walls. first, the frequency characteristics of the total transmission matrix are calculated within the frequency range concerned. then, a simple polynomial 5 - transfer function is yielded from the theoretical frequency characteristics for internal, cross and external heat conduction by applying appropriate identification algorithm, respectively

    首先在所關心的頻域范圍內計算出總的傳遞矩陣的頻率響應，然後採用適應的辨識演算法從墻體不穩定傳熱的理論頻率響應中構造出一個簡單的多項式s -傳遞函數，該多項式s -傳遞函數與墻體瞬時傳熱的理論的超越s -傳遞函數完全等價。
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