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- GSP algorithm is an AprioriAll based algorithm. GSP算法是一个基于AprioriAll的算法。
- The traditional state-space traversal based algorithm is analyzed and two main engines - BDD and SAT are compared. 该算法的特点有:1)由于我们的算法只使用到了可满足性算法引擎,因而和采用BDD引擎的算法不同,不存在内存增长过快的问题。
- An ant colony optimization based algorithm for permutation flow shop scheduling was proposed. 摘要提出了一种求解置换流水车间调度的蚁群优化算法。
- Secondly, the graph cuts based algorithm is employed to minimize energy function and segment the foreground. 然后基于图切割算法最小化能量函数，并对前景/背景进行分割；
- The constant modulus algorithm (CMA), higher- order spectrum based algorithm and neural networks based algorithm are discussed. 从算法的角度，着重介绍了常量模板算法、基于高阶谱的算法、基于神经网络算法等算法的发展情况，并对其优缺点进行了比较。
- Lyapunov Equation based algorithm for calculating state feedback gain is a comparatively normal algorithm used in pole assignment. 摘要基于李亚普诺夫方程的状态反馈增益算法是极点配置算法中比较常见的一种。
- The nonlinear bilevel programming formulation and the trust region based algorithm are used to search the closest critical point. 建立了求解最近电压稳定临界点的非线性二层规划模型，提出一种求解该问题的信赖域方法。
- This paper proposes a Boolean algebra based algorithm to extract comprehensible Boolean rules from supervised feed-forward neural networks to uncover the black-boxed knowledge. 本文提出一种布林代数为基的演算法，从监督、前馈式的类神经网路中撷取可以理解的布林规则，以揭露黑箱内的知识。
- By combining the QR factorization based algorithm with the special structure of Orthogonal space-time block code, a new blind estimation algorithm in OSTBC was proposed. 将该算法推广到正交空时分组码的信道估计中，结合正交空时分组码的特性提出了一种新的信道盲估计算法。
- In the designing of adaptive packet sampling, this paper invents a dynamic packet counting based algorithm to computing packet transport speed and a threshold-detecting based algorithm to control the sample rate adapting. 设计中,论文提出了基于动态报文计数的报文流速计算和基于阈值检测-趋势触发的报文抽样比自适应调节算法以根据报文流速自动调节报文抽样比和基于抽样-保持流抽样算法思想改进算法和基于概率分布的流抽样控制模型与用抽样点同步抽样的模型参数快速计算算法相结合的自适应流抽样调节算法。
- This paper presents a primal-dual interior point method based algorithm with sparsity structure, which deals with voltage/reactive power optimization control problems in large scale power systems. 文章结合电力系统的稀疏特性，提出了一种基于稀疏技术的原对偶内点法电压无功优化控制数学模型，并给出了提高原对偶内点法计算速度的措施。
- For linear model reduction algorithms, The Krylov subspace based algorithms including Arnoldi process and Lanczos algorithm are introduced. 同时对于这两种常见的模型降阶算法，本文将给出相关的误差分析。
- The simulation results show that the UF based algorithm can guarantee the proportional fairness of the throughput between every users, and evidently increase the total throughput of the system. 仿真结果表明，基于效用公平的算法，可以保证各用户间的吞吐量符合比例公平原则，并能明显增加系统总吞吐量。
- Simulation results show that KPR is fault-tolerant, scalable, and better than non-security-aware and fixed-number replication based algorithms. 仿真结果表明，该算法可以有效提高不安全网格环境下的任务调度成功率，具有很好的容错性和可扩展性，优于固定备份数的网格任务调度算法。
- Our quality is based solely on our sales samples. 我们的质量完全以货样为准。
- A Neural Network Based Algorithm for Adaptive Array 一种基于神经网络的天线阵自适应算法
- Compared with traditional sightline based algorithms,the algorithm for computing viewsheds based on reference planes has no use for DEM interpllations,without redundance calculations. 与传统基于视线的可视域算法相比,利用参考面快速计算可视域算法不需进行DEM内插,无冗余计算,计算时间与视点位置和可视域面积无关,受DEM区域大小影响不
- The story is based mainly on tradition. 这故事主要来自传说。
- The story is based on historical facts. 这个故事是以历史事实为根据的。
- Conventional subspace based algorithms for DOA evaluation estimate the DOA parameters by tracking either the signal subspace or noise subspace of the covariance matrix of the received signal. DOA估计的子空间方法主要是通过估计信号协方差矩阵的信号子空间或者噪声子空间来求出信号的DOA参数。
