modifying algorithms中文是什么意思

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中文翻譯
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變動性算法

modify vt. 變更；修改；減輕，緩和，調節；限制；【哲學】規定 ...
algorithm n. 【數學】算法；規則系統；演段。
algorithms 算法式
form modifying 格式修改
modifying addition 改進劑
modifying agent 變調劑; 變性劑模數的; 蝶劑; 改良劑; 質量改善劑
modifying agreements 修正協議
modifying asphalt 改性瀝青
modifying enzymes 修飾酶類
modifying factor 修飾基因; 修飾因子; 修正因子
modifying feedback 修改反饋, 調整反饋
modifying feedforward 修改前饋, 調整前饋
modifying gene 變更基因; 修飾基因; 影響表達基因
modifying genes 修飾基因
modifying of order 指令修改
modifying reagent 蝶劑
modifying registry 修改注冊表操作
modifying resin 改性用樹脂
modifying terms 形容術語
modifying the model 模型的修正
modifying treatment 調節處理
adaptability of algorithms 算法的適應性
algorithms for optimization 最優化算法
algorithms library 算法庫
analysis of algorithms 我想“算法分析

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The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed . the signal local singularity under the wavelet transform are studied . the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed , too . the denoise effect of different threshold and threshold function are studied . base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold , a modified algorithm is developed : combining threshold distinguishing and shield filter method
討論了基于mallat理論最大模數方法以及基于donoho理論的閾值萎縮去噪方法的差別，研究比較了不同閾值規則與閾值函數對去噪效果的影響；在此基礎上，結合統一閾值和置信區間閾值各自的優缺點，提出閾值判別和屏蔽濾波相結合的方法。
Finally we study a modified algorithm , which applies the fast fixed - point algorithm for complex signals to blind signals eparation in frequency domain . it ’ s a one - unit algorithm . to prevent converging to the same signal , the deflation algorithm is used to separate signals one by one
4 .結合上述卷積混合信號的頻域分離算法,研究了一個改進單源算法,將復數快速固定點算法應用到頻域加速收斂,為了防止算法收斂于同一信號,利用一種抽氣技術,這樣可一次分離出一個信號,實現卷積混合信號分離。
Then , with deeper understanding of them , we hope to make some improvements . in the aspect of object detection and segmentation , we begin with the static background case . two modified algorithms , adaptive time - delayed difference model and mixture background estimation model based on mra , are proposed
面對這種研究現狀，本文試圖在前人工作的基礎上，通過對運動目標檢測、分割和識別算法的分類研究，探索各種不同算法內在的一致性，并期望在此基礎上增強對算法的理解以及對某些問題的求解提出改進。
In chapter 3 , we give an equivalent form of semi - infinite programming , and a locally convergent ssle method is proposed for sip . we only need solve a linear system equations and a subproblem with a parameter per step , also a modified algorithm which saves cost of computations is given , at the end of the paper , we give a proof of the convergence for the algorithms
第三章通過適當的變形，得到半無限規劃問題的一個等價形式，并給出一個局部收斂的序列線性方程組算法，這個算法在每一步，只需求解一個線性方程組和一個帶參數的非線性子問題，證明了算法的收斂性，同時，給出了一個修正算法，與前面算法相比較，修正算法節約一定的計算量，同樣具有較好的收斂性。
Thirdly , in the traditional decision tree based ensemble gene mining method , the gene number in the node of the tree is constrained to one . a modified algorithm is proposed , which uses the character of the fldt measure to realize the extension that the number of the gene contained in every node can be any number smaller than n ( n is specified by user ) . the extension cancels the traditional algorithm ’ s constraint and makes the algorithm more flexible and more powerful on the classification
第三,在傳統的基于決策樹的集成基因挖掘算法中,樣本空間中的分類平面必須與坐標軸平行,大大限制了該算法的性能,針對此,本論文中提出了一種改進算法,該算法利用基因集合的fldt測度的獨有特性,實現了節點包含的基因數目可以是小于n ( n的值由用戶指定)的任意數目的改進,提高了原算法的靈活性和分類能力。
In chapter 3 , a congestion control algorithm facc based on active networks and its modified algorithm mfacc are proposed to solve the problem that congestion control in traditional network depends on the ambiguity implication to detect network congestion and then carry out the congestion control
第三章針對tcp擁塞協議中存在的受傳統網絡服務能力限制，擁塞控制機制只能進行隱式的擁塞檢測這一問題，本文提出了基于主動式網絡的主動擁塞控制算法facc以及它的改進算法nfacc 。
The original and modified algorithms are compared on many standard benchmarking datasets , including face detection , usps , and mnist handwritten digit recognition problems . numerical results show that the modified algorithm out - performs the original algorithm with respect to training tune in most cases , especially when the training data are noisy and overlapping
人臉檢測、 usps ，和mnist手寫數字識別等數據的實驗結果顯示改進的算法在很多情況下優于原來的算法，尤其是在強噪聲和類間重疊的數據下這種改善更為明顯。
It has been widely applied to image and speech compression . the paper deals with image compression based on vector quantization , detailedly expounds its elemental principle , relative conception , and present development , deeply explores its two key technique - - codebook generation and codeword searching , summarizes and analyzes present typical algorithms , and presents modified algorithms
本文以矢量量化技術在圖像壓縮方面的應用作為研究目標，詳細闡述了矢量量化的基本原理、相關概念及發展現狀，深入探討了矢量量化的兩大關鍵技術? ?碼書生成和碼字搜索，總結分析了現有典型的算法，并提出改進算法。
In order to improve the generalization ability and to make the system more accordant to the practical requirement , the paper introduces the k - l information distance to the error function of the traditional bp algorithm . the simulation proves that the generalization ability of the system trained with the modified algorithm is much better than that of other algorithms
為了進一步改進系統的泛化能力，使其滿足報價的實際需要，本文利用神經網絡的概率描述，通過研究k - l信息距離和神經網絡泛化能力的關系，構造了一個新的神經網絡學習誤差函數，并將此法與其它各種算法的泛化結果進行比較。
But it is not suitable for online implementation or for tracking signal components with characteristic that change with time , a new modified algorithm is present based on the adaptive short - time kernel . simulations show that adaptive short - time kernel time - frequency distribution has better performance than anyother time - frequency distribution not only in the time - frequency resolution but also in the cross - components suppression
通過對仿真信號計算其自適應短時高斯核時頻分布，仿真結果表明，無論從改善信號的時頻分辨率還是抑制交叉項方面，自適應短時核時頻分布均表現出了較好的特性。

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