避免演算法參數 的英文怎麼說

中文拼音 [bìmiǎnyǎnsuànfǎshēnshǔ]
避免演算法參數 英文
back off limit
  • 避 : 動詞1. （躲開;迴避） avoid; evade; dodge; seek shelter; shun; flee 2. （防止; 避免） prevent; keep away; repel
  • 免 : Ⅰ動詞1 （去掉;除掉） dismiss; relieve; remove 2 （避免） avoid; escape; avert 3 （免去） excuse s...
  • 演 : 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;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 參 : 參構詞成分。
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 避免 : avoid; refrain from; avert; prevent sth. happening; shun
  1. Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure

    文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性
  2. First, it delves into the key technique of eis ? image registration, and presents an effective registration algorithm which is from coarse toprecise and form local to global. second, it applies recursive kalman filtering technique inmotion filtering of registration parameters and makes motion compensation for practical image. finally, it takes advantage of mosaicking to reconstruct undefined regions to avoid theubiquitous information missing and image degradation. this algorithm has high precision as wellas high speed

    首先，對電子穩像中關鍵環節? ?圖像配準技術進行了深入研究，給出一種由粗到精、由局部到全局的高效配準演算法;接著，採用了遞歸kalman濾波技術對配準參數進行運動濾波並對實際圖像進行運動補償;最後，利用了圖像拼接技術進行「無定義區」重建，避免了普遍存在的信息丟失和圖像降質問題。
  3. Based on the computer geometrical models of straight bevel gears built, a iso - parametric tool path algorithms which was fit for the machining of multiple surfaces has been designed. the algorithms can solve the problems which exist in machining multiple non - rectangle parameter surfaces and avoid the calculation of sufaces intersection

    在建立直齒圓錐齒輪計算機模型的基礎上，提出了適于多曲面加工的等參數線刀軌生成演算法，避免了在對多張相鄰非矩形參數域齒面進行加工時所產生的干涉問題，而且曲面無需求交，使得計算成本下降。
  4. This error - based detecting method is improved, that is, predicting the chaotic noise is changed to estimating the chaotic noise. a predicting method is improved to an estimating method to estimate the chaotic noise. then the time used to train the parameters is saved, and no invalid detection will be gotten even if signals come into

    4 、改進了誤差檢測方法，即，將預測混沌噪聲改為估計混沌噪聲，並改進了一種非線性預測演算法，將其用於估計混沌噪聲，省去了參數訓練的時間，避免了參數尚未訓練好時就有信號進入背景噪聲中，而使檢測無效的情況。
  5. The main idea of our algorithm is to avoid choosing nodes with lower residual energy as cluster - heads, thus to ensure balanced energy - usage among the nodes in the network

    演算法通過綜合考慮候選節點的剩餘能量級、通信能量損耗等參數來優化簇首的選擇，從而有效地避免了低能量節點被選為簇首的可能性，進一步保證網路內節點能量負載的均衡性。
  6. 5. a computationally attractive algorithm based on the propagator method is proposed for simultaneous estimation of the direction - of - arrivals and frequencies of multiple narrowband signals received at spatially separated sensors. the frequencies are found by the eigenvalues of a constructed lower dimension matrice. the arrival angles are then estimated using the associated eigenvectors as well the estimated frequencies

    在第六章基於傳播運算元方法給出了頻率、角度聯合估計的一種快速演算法，由於其避免了高維矩陣的特徵分解，因而具有更低的計算復雜度，且演算法適用於一般的陣列結構，二維參數自動配對，易於實時實現。
  7. First, the current optical system construction ' s optimization algorithms are based on the just optical system ' s preliminary construction which designers have selected. optical system program can not automatically change the optical elements ' nember. so that optical system design ' s intelligentized degree is not high. now this paper applies the genetic algorithms to lens design and shows that the genetic algorithms can effectively work in automatically changing the optical elements ' nember. next, this pape present a new computer design method that applies the genetic - simulated annealing algorithms to directly design the binary optical element

    首先，由於現有的光學系統結構設計的優化演算法都是在選定了初始光學結構的基礎上，只對光學結構參數進行優化選擇，在優化過程中不能夠自動改變光學面數，導致光學系統設計的智能化程度還不是很高，採用遺傳演算法，實現了光學面的自動增減；其次，區別于傳統的二元光學設計方法，為避免其量化臺階數過大導致的成本及加工復雜度的增加，提出了運用混合優化策略遺傳-模擬退火演算法直接設計二元光學元件的新的計算機方法。
  8. Reactive power are calculated using the new algorithm. on the basis of analyzing different kinds of control strategies of var compensation, the paper applies the criterion of voltage and var to control switching and illustrates a improved mode of switching capacitor which can prevent the switched - capacitor from the impacting of instantaneous rush currents by means of zero - crossing triggering of scr components, and can realize auto - tracking var and auto - switching shunt capacitor bank. initial operating parameters are stored in information flash memory of the mcu using flash self - programming technique in order to decrease complexity of the circuit and improve stability

    高壓智能無功補償控制器以flash型16位單片機msp430f149為控制核心，採用了一種相角實時測量的新演算法，並在此基礎上計算出了功率因數、有功和無功，減少了運算量提高了精度；在分析了各種無功補償控制策略的基礎上，以母線電壓和無功功率復合判據控制投切，並提出一種改進的電容器投切方式? ?暫態投切控制晶閘管過零觸發，避免了電容器投切時的電流沖擊；穩態運行時接觸器替代晶閘管，實現無功補償的自動跟蹤和電容器的自動投切，解決了投切時的暫態電流沖擊和穩態時可靠運行的難題；控制器的原始運行參數採用flash自編程技術，將其保存在msp430f149片內的信息flash中，簡化了硬體電路，大大提高了系統的可靠性。
  9. 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練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，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習策略引進的研究結果。將該演算法同傳統bp演算法的預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。
  10. Abstract : a design method of a multi - variable inferential controller based on anew performance index is proposed. the inferential controller uses a v type control structure to avoid inverse transformation of rectangle arriving. this multi - variable inferential control system has the characteristic of simple calculation and only an adjustable parameter q array. this control system output gets the performance of dynamic decoupling of the mutivarable system

    文摘:在一種新的性能指標下，提出了一種多變量推理控制器的設計方法，該控制器採用的v規范型控制器結構避免了傳遞函數矩陣求逆問題.該類多變量推理控制系統的特點是演算法簡單、僅具有一個可調參數矩陣q ，該系統實現了多變量系統的動態接耦
  11. The decision tree had a lot of algorithms, this paper focus on the optimization of fast classification in the face of n - value attribute of id3 algorithm which had parameters of user ' s interest. on the basis of avoiding the weak relevant attribute of n - value covered the worth strong relevant attribute, simplify complexity of the original algorithm and code cost through the mathematics tool, thus raise the speed of operation while using this algorithm, and lower costs in thrift as much as possible, to raise the efficiency

    決策樹學習有很多演算法，本文著重研究了對引入用戶興趣度參數的id3演算法在面對多值屬性時的快速分類的優化，在避免了多值弱相關屬性覆蓋少值強相關屬性的基礎上，通過數學工具簡化原演算法的復雜度和編碼代價，從而提高使用該演算法時的運算速度，盡量多的節約計算時間，從而達到降低成本的，提高效率的目的。
  12. We focus our attention on the ilc architecture of using feedback and feedforward actions in order to improve the robustness of the ilc scheme. this dissertation aims to develop new methodologies for robust ilc design that involves a tradeoff between rapid convergence and good tracking performance. these design methods are systematic to resolve the problem of choosing the parameters in learning law and enhancing the utilitarian of ilc

    為了加強演算法的魯棒性，重點採用同時具有反饋與前饋作用的開閉環綜合迭代學習控制結構，旨在給出同時兼顧收斂性和跟蹤性能的魯棒迭代學習控制律的設計方法，避免學習律參數選擇的盲目性，拓寬迭代學習控制的應用范圍，加強迭代學習控制的實用性。
  13. Based on the multiple - targets control strategy, utilizing the properties of self - adapting and simpleness of nerve cell, multiple - targets neural control strategy is brought forward, which facilitates the on - line regulation of controller ' s parameter. the simulation indicates this control strategy has remarkable self - adaptability and robustness character. a strategy of on - line optimization based on genetic algorithms ( ga ), which utilizes

    針對多目標神經網路控制器參數的選取，利用遺傳演算法（ ga ）的全局收斂性，提出了基於遺傳演算法的多目標神經網路控制器參數的在線優化，避免了採用bp演算法時的局部收斂等問題。
  14. Considering the number of the feature points extracted in different images is not equal and their locations are also not corresponding, the scheme presents the closest interval criterion and the svd algorithm to accurately register the retinal images. in order to meet the practical requirements of image registration precision and speed, the paper describes the maximal correlation objective function and uses the simplex - simulated annealing algorithm to optimize the parameter

    在基於特徵對應性圖像配準演算法中，利用多方向探測方法準確提取了視網膜圖像中的血管交叉點和分枝點，對于提取得到的配準及參考圖像特徵點之間非對應性且數目不等這一配準演算法中不可避免的問題，本文提出了距離最近標準和svd分解方法，有效的解決了這一問題。
  15. The individual svm is prone to fail in the intrusion detection for the fragility of being attacked. this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection. using a correlation penalty term in the error function, the aggregate members can be accurate and diverse. and the evolutionary strategy is considered as the best way to automatically determine the individ. ual svms hyperparameters. at last we combine the results of all individual svms using ensemble technique. this distributed parallel detection can strengthen the robustness of the system. simulation results show the effectiveness of the method presented in this paper

    在入侵檢測中使用單個的支持向量機容易因"單點失效"而危害系統安全.提出一種基於支持向量機集成的方法來進行入侵檢測.它採用負相關學習技術，在誤差項中使用相關性懲罰因子使得生成的分類器有更好的多樣性和精度;演算法採用進化策略來自動地確定個體支持向量機的超參數，避免了需要了解問題的先驗知識;最後，採用集成技術來組合個體支持向量機的檢測結果.模擬實驗表明這一方法有更好的檢測性能，並且這種分散式并行檢測方法有利於增加入侵檢測系統的魯棒性
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