modifying algorithms中文是什么意思

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中文翻譯
造句

變動(dòng)性算法

modify vt. 變更；修改；減輕，緩和，調(diào)節(jié)；限制；【哲學(xué)】規(guī)定 ...
algorithm n. 【數(shù)學(xué)】算法；規(guī)則系統(tǒng)；演段。
algorithms 算法式
form modifying 格式修改
modifying addition 改進(jìn)劑
modifying agent 變調(diào)劑; 變性劑模數(shù)的; 蝶劑; 改良劑; 質(zhì)量改善劑
modifying agreements 修正協(xié)議
modifying asphalt 改性瀝青
modifying enzymes 修飾酶類(lèi)
modifying factor 修飾基因; 修飾因子; 修正因子
modifying feedback 修改反饋, 調(diào)整反饋
modifying feedforward 修改前饋, 調(diào)整前饋
modifying gene 變更基因; 修飾基因; 影響表達(dá)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(cè)表操作
modifying resin 改性用樹(shù)脂
modifying terms 形容術(shù)語(yǔ)
modifying the model 模型的修正
modifying treatment 調(diào)節(jié)處理
adaptability of algorithms 算法的適應(yīng)性
algorithms for optimization 最優(yōu)化算法
algorithms library 算法庫(kù)
analysis of algorithms 我想“算法分析

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This algorithm improved performance by united - decision estimating according to the relations of several groups near data . in the condition of equal decoding performance , the modified algorithm can reduce size and power consumption
該算法通過(guò)利用viterbi譯碼相鄰幾組判決數(shù)據(jù)之間的相關(guān)性,提高了譯碼性能,從而在保證同等性能的條件下減小了硬件規(guī)模,降低了功耗。
This paper discusses the algorithm of rbfnn ( radial basis function neural network ) , especially modified rbfnn based on chaos genetic algorithm , and the modified algorithm application of building converter vanadium static model
本文詳細(xì)論述了徑向基神經(jīng)網(wǎng)絡(luò)算法及其基于混沌遺傳優(yōu)化的改進(jìn)型徑向基神經(jīng)網(wǎng)絡(luò)算法，以及該算法在轉(zhuǎn)爐提釩靜態(tài)模型的建立過(guò)程中的應(yīng)用。
With references to tae - yong kue kwanghee nam and jin s . lee ' s [ 32 ] literatures , algorithm b was obtained after modifying algorithm a . the output signal of industrial robotic manipulator controller is correspondence with the torque provided by each joint
Lee的研究成果，得到簡(jiǎn)化的機(jī)械手反饋迭代學(xué)習(xí)控制律(算法b ) 。摘要?工業(yè)機(jī)械手控制器的輸出信號(hào)是與每個(gè)關(guān)節(jié)電機(jī)所需提供的轉(zhuǎn)矩相對(duì)應(yīng)的。
2 . studies on the wigner - hough transform in the suppression of cross - components , a modified algorithm is present based on adaptive gaussian kernel time - frequency distribution , this algorithm not only suppresses the cross - components but also has good performance in the low snr
研究了wigner - hough變換在抑制交叉項(xiàng)中的應(yīng)用。通過(guò)對(duì)wigner - hough變換作一定的改進(jìn)，提出了基于信號(hào)自適應(yīng)高斯核時(shí)頻分布的hough變換。
Compared with the classical algorithms , modified algorithms need fewer numbers of multiplications and less precision for filters . furthermore , modified algorithms are suitable for real - time application and realization because of similar structures of computing every sort of outputs
另外，改進(jìn)的算法對(duì)濾波器系數(shù)的精度要求更低，而且，改進(jìn)的算法非常適合于實(shí)時(shí)處理，各種輸出的計(jì)算結(jié)構(gòu)的類(lèi)似也利于算法的實(shí)現(xiàn)。
I divide maximal crossing ambiguities into three sorts based on statistics of maximal crossing ambiguities from a large scale chinese corpus and adopt different methods to deal with them . this modified algorithm improves the ability to deal with maximal crossing ambiguities greatly
本課題在對(duì)大規(guī)模真實(shí)文本中的最大交集字段進(jìn)行統(tǒng)計(jì)的基礎(chǔ)上，將最大交集字段分為三類(lèi)，并分別對(duì)其進(jìn)行處理，極大的提高了對(duì)最大交集字段的處理能力。
Afterwards , in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction , an improved sfim image fusion method is proposed . this modified algorithm is on the base of sfim fusion technique , combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter . compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images , it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
論文的主要工作和成果包括：在像素層，論文研究了多傳感器數(shù)據(jù)融合理論及遙感圖像預(yù)處理的過(guò)程和步驟，歸納了多源遙感圖像像素層融合的常用算法，并針對(duì)目前遙感數(shù)據(jù)呈海量化、復(fù)雜化這一發(fā)展趨勢(shì)同遙感信息提取的能力和效率滯后這一矛盾，在sfim算法的基礎(chǔ)上，將ihs變換與sfim相結(jié)合，將原算法中的均值濾波器改進(jìn)為自適應(yīng)加權(quán)均值濾波器，提出了一種改進(jìn)的sfim算法，通過(guò)對(duì)一組多光譜圖像和全色圖像的雙傳感器融合仿真對(duì)比試驗(yàn)，證明了該算法在保持原多光譜圖像光譜信息的同時(shí)，能夠有效提高融合圖像的空間分辨能力。
In this part , the author mainly introduces the theory of the image moment invariants and its current application , analyses the influence of scale factor on moment invariants features under the state of discrete and adopts a sort of modified algorithm to abstract the eigenvector of the objects " outline finally , the author uses bp network to classify the mode
該部分主要論述了圖像不變矩的原理和應(yīng)用現(xiàn)狀，分析了在離散狀態(tài)下比例因子對(duì)7個(gè)不變矩的影響，提出了一種的改進(jìn)算法，并利用其提取了物體外形輪廓的特征向量，最后用bp網(wǎng)絡(luò)進(jìn)行了模式分類(lèi)。
Abstract : based on the iterative bit - filling procedure , a computationally efficient bit and power allocation algorithm is presented . the algorithm improves the conventional bit - filling algorithms by maintaining only a subset of subcarriers for computation in each iteration , which reduces the complexity without any performance degradation . moreover , a modified algorithm with even lower complexity is developed , and equal power allocation is introduced as an initial allocation to accelerate its convergence . simulation results show that the modified algorithm achieves a considerable complexity reduction while causing only a minor drop in performance
文摘:基于迭代的比特和功率分配機(jī)制,提出了一種低復(fù)雜度的比特和功率分配算法.與傳統(tǒng)的迭代分配算法不同,該算法在每次迭代中只需要比較幾個(gè)特定的子載波.該方法在保持傳統(tǒng)迭代算法性能的前提下極大地減小了迭代分配算法的復(fù)雜度.此外,通過(guò)選擇等功率分配方案作為初始方案加快了算法的收斂速度,進(jìn)一步降低了算法復(fù)雜度.仿真結(jié)果表明,提出的改進(jìn)算法在基本不犧牲系統(tǒng)性能的前提下有效地降低了算法復(fù)雜度
Then , the theory of multiresolution and 2 - d tensor product multiresolution which are theoretical bases of discrete wavelet transformation are discussed and wavelet algorithms of analysis and reconstruction are strictly reasoned . the emphasis in this paper is exploration in realization of 2 - d dwt in image processing . through exploring the structure of nonseparable computation method applied to realize 2 - d dwt using orthonormal wavelet base with periodical extension of image data and biorthonormal wavelet base with symmetrical periodical extension of image data and analyzing characters of 2 - d wavelet filters which are produced by 1 - d wavelet filters , and combining a new computational method , modified algorithms are proposed
通過(guò)研究對(duì)圖象數(shù)據(jù)采用周期邊界延拓，利用正交小波基的二維離散周期小波變換和對(duì)圖象數(shù)據(jù)采用對(duì)稱(chēng)周期延拓，利用雙正交小波基的二維離散小波變換的非分離計(jì)算方法的計(jì)算結(jié)構(gòu)，并對(duì)由一維正交小波濾波器和一維雙正交小波濾波器以張量積方式構(gòu)造的二維小波濾波器的特點(diǎn)進(jìn)行了分析，結(jié)合一種新的計(jì)算方式，對(duì)算法進(jìn)行了改進(jìn)。

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