modifying algorithms中文是什么意思

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中文翻译
造句

变动性算法

modify vt. 变更；修改；减轻，缓和，调节；限制；【哲学】规定 ...
algorithm n. 【数学】算法；规则系统；演段。
algorithms 算法式
form modifying 格式修改
modifying addition 改进剂
modifying agent 变调剂; 变性剂模数的; 蝶剂; 改良剂; 质量改善剂
modifying agreements 修正协议
modifying asphalt 改性沥青
modifying enzymes 修饰酶类
modifying factor 修饰基因; 修饰因子; 修正因子
modifying feedback 修改反馈, 调整反馈
modifying feedforward 修改前馈, 调整前馈
modifying gene 变更基因; 修饰基因; 影响表达基因
modifying genes 修饰基因
modifying of order 指令修改
modifying reagent 蝶剂
modifying registry 修改注册表操作
modifying resin 改性用树脂
modifying terms 形容术语
modifying the model 模型的修正
modifying treatment 调节处理
adaptability of algorithms 算法的适应性
algorithms for optimization 最优化算法
algorithms library 算法库
analysis of algorithms 我想“算法分析

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例句与用法

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
讨论了基于mallat理论最大模数方法以及基于donoho理论的阈值萎缩去噪方法的差别，研究比较了不同阈值规则与阈值函数对去噪效果的影响；在此基础上，结合统一阈值和置信区间阈值各自的优缺点，提出阈值判别和屏蔽滤波相结合的方法。
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 .结合上述卷积混合信号的频域分离算法,研究了一个改进单源算法,将复数快速固定点算法应用到频域加速收敛,为了防止算法收敛于同一信号,利用一种抽气技术,这样可一次分离出一个信号,实现卷积混合信号分离。
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
面对这种研究现状，本文试图在前人工作的基础上，通过对运动目标检测、分割和识别算法的分类研究，探索各种不同算法内在的一致性，并期望在此基础上增强对算法的理解以及对某些问题的求解提出改进。
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
第三章通过适当的变形，得到半无限规划问题的一个等价形式，并给出一个局部收敛的序列线性方程组算法，这个算法在每一步，只需求解一个线性方程组和一个带参数的非线性子问题，证明了算法的收敛性，同时，给出了一个修正算法，与前面算法相比较，修正算法节约一定的计算量，同样具有较好的收敛性。
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,在传统的基于决策树的集成基因挖掘算法中,样本空间中的分类平面必须与坐标轴平行,大大限制了该算法的性能,针对此,本论文中提出了一种改进算法,该算法利用基因集合的fldt测度的独有特性,实现了节点包含的基因数目可以是小于n ( n的值由用户指定)的任意数目的改进,提高了原算法的灵活性和分类能力。
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
第三章针对tcp拥塞协议中存在的受传统网络服务能力限制，拥塞控制机制只能进行隐式的拥塞检测这一问题，本文提出了基于主动式网络的主动拥塞控制算法facc以及它的改进算法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
人脸检测、 usps ，和mnist手写数字识别等数据的实验结果显示改进的算法在很多情况下优于原来的算法，尤其是在强噪声和类间重叠的数据下这种改善更为明显。
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
本文以矢量量化技术在图像压缩方面的应用作为研究目标，详细阐述了矢量量化的基本原理、相关概念及发展现状，深入探讨了矢量量化的两大关键技术? ?码书生成和码字搜索，总结分析了现有典型的算法，并提出改进算法。
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
为了进一步改进系统的泛化能力，使其满足报价的实际需要，本文利用神经网络的概率描述，通过研究k - l信息距离和神经网络泛化能力的关系，构造了一个新的神经网络学习误差函数，并将此法与其它各种算法的泛化结果进行比较。
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
通过对仿真信号计算其自适应短时高斯核时频分布，仿真结果表明，无论从改善信号的时频分辨率还是抑制交叉项方面，自适应短时核时频分布均表现出了较好的特性。

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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT