adjusting factor method 中文意思是什麼

adjusting factor method 解釋
校正因數法
  • adjusting : 調節;調整;調準
  • factor : n 1 〈英國〉經銷人;(代客買賣收取傭金的)經紀人;代理商;代辦人;〈蘇格蘭語〉 土地經管人。2 要素...
  • method : n 1 方法,方式;順序。2 (思想、言談上的)條理,規律,秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. The dissertation described the theory of wavelet in detail and presented the method of building wavelet function, presented the learning method and adjusting factor law of bp wavelet neural - networks, designed neural - networks controller. the result of simulation showed the controller could compensate dynamic inverse error

    針對動態逆產生的逆誤差,本文對基於bp小波神經網路進行了研究,給出了學習演算法和權值調整律,設計了神經網路控制器並進行了模擬,模擬結果表明能夠較好的補償動態逆產生的誤差。
  2. The new method ameliorates the process of old iterative method and add a new iterative parameter : convergence factor, which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor

    該演算法改進已有的迭代過程,加入了新的迭代參數:收斂因子,通過改變迭代進程和調整收斂因子來提高重建圖像的質量。
  3. This paper focuses on the research of fuzzy control, especially rule self - adjusting fuzzy control method. by theoretic analysis and simulations, the influences of parameters and system performance characteristic of some kinds of rule on - line self - regulating fuzzy control methods are discussed, and a novel real - time self - adjusting fuzzy control method ( vsrsafc ) is proposed from the diagrammatic point of view. in vsrsafc, the slope of the rectifying curve of rule scaling factor a is altered by the fine - tuning and coarse tuning combined mechanism to adjust the fuzzy control rules according to error e and error change ec, which more coincides with characteristic of system response than the conventional self - adjusting method that adjusts rule scaling factor only according to the error e, and has better static and dynamic performances than the latter

    其中變斜率規則自調整模糊控制的效果較為明顯,它是基於插值的非線性規則自調整模糊控制的引申以及常規全論域規則自調整模糊控制的改進,該方法採用粗、細調結合機制,通過改變規則調整因子的修正曲線斜率,使系統同時根據誤差e以及誤差變化ec在線調整模糊控制規則,比傳統的僅基於系統誤差e的自調整方法更符合系統響應特性,可獲得更好的動靜態控制性能,特別是對于系統參數發生改變、控制參數選取不當等不良狀況,控制器仍能較快自調整,具有較強的在線自適應能力。
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