練習性預演 的英文怎麼說

中文拼音 [liànxìngyǎn]
練習性預演 英文
dry run
  • : Ⅰ名詞1 (白絹) white silk 2 (姓氏) a surname Ⅱ動詞1 (加工處理生絲) treat soften and whiten s...
  • : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
  • : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
  • : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
  • 預演 : preview; walk through
  1. Campared with statistical analyze, it is shown that, the network structure and network output after trained rbfnn using improved rols is more reasonable than k - mean algrithm, and the control model has the property of self _ learning, self _ organization and self _ adaptive, and the control precision can be more than 90 %. on the other hand, this paper also shows that, rbfnn model can control the desulfuration process on the whole in time, and the prediction result using rbfnn model is better than statistical analyze method

    同統計分析結果比較,得出以下結論:利用改進rols算法訓rbf網路比k -均值算法能夠得到更加合理的網路結構和網路輸出;利用rbfnn所建立的脫硫智能控制模型具有自學、自組織和自適應,其控制精度達到90 %以上; rbf神經網路模型基本可以對脫硫過程進行及時控制;基於rbfnn模型的測效果優于傳統的統計分析結果。
  2. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓中,使用參數自適應方法實現了學率、慣因子的自我調節,以避免系統誤差陷入局部最小,加快網路的收斂速度;提出了優化bp網路結構的實驗研究方法,並給出了有關隱含層數和節點數選擇以及再學策略引進的研究結果。將該算法同傳統bp算法的測偏差平方和進行比較,結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
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