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- The initial weighted vectors and training sets are also determined by LPS.Limited samples are taken in order to speed up the training process of the improved neural network. 根据线性像素置换确定改进的自组织神经网络的初始权重向量和训练样本集。
- The weighted vector is proposed based on inferior subordination degrees.An evaluating method is also suggested according to the Euclid Norm of the alternatives from the worst one. 从相对劣值隶属度出发,建立了加权向量的概念,将备选方案与最不理想方案的几何偏差作为选优的依据,提出了基于欧氏范数的客运枢纽评价方法。
- In the new algorithm, SCA provides global convergence by moving the equalizer weight vector in the correct direction. 该算法一方面使用了SCA算法来提供全局收敛,保证在整个收敛过程中,均衡器朝正确的方向收敛;
- The new weight vector can provide well output SINR when the steering vector of SOI is imprecise. 新的算法可以在期望信号导引向量存在误差的情况下提供较好的输出SINR。
- According to weight vectors the multiobjective planning is transformed into the homologous singleobjective planning by using the ideal-point algorithm. 依据目标的重要性确定权向量,根据运输实际情况确定理想点,利用理想点法将多目标规划问题转化为单目标规划问题。
- The target position information was acquired by the SVM estimation output and the weight vector. 利用此权向量和SVM输出估计,可以得到目标位置信息。
- The double talk detector computes a squared norm of the filter weight vector and detects an increase of the squared norm in order to detect double-talk status. 其中一双方交谈侦测装置会计算滤波器权值向量所对应的方均值差量,并利用于侦测一双方交谈状态。
- Based on the matched filter beamforming criterion in CDMA, a novel method called power method is proposed to compute the weight vector to beamform. 摘要基于适于CDMA的匹配滤波波束形成准则,提出使用幂法计算权矢量的波束形成的新方法。
- A joint optimization algorithm of transmitting and receiving weight vectors for MIMO-SDMA system is proposed.This algorithm is based on the idea of symbol cancellation. 摘要提出了一种基于符号抵消的多用户MIMO系统发送和接收权向量联合优化算法。
- This method can avoid the subjectivity when the weight vector is determined and get the optimality of the prior order evaluation by non-uniform weight. 该方法不但能克服确定权重时的主观性,而且通过对各指标的“非均一”赋权,有利于达到优先序评价的“最优性”。
- The algorithm projects the LCMVB weight vector onto the signal subspace,thus the effect of the noise subspace on the weight vector is reduced. 该算法把常规自适应天线相消法的权矢量向信号子空间投影,减小了噪声子空间对权矢量的影响。
- The quadratic programming model is constructed to determine the weight vector of the attributes and to rank the alternatives. 通过建立二次规划模型决定属性权重向量,并对方案进行排序。
- Then, the information of the bargaining interval and bargaining value is integrated by utilizing the induced ordered weighted averaging(IOWA) operator. The problem to choice the weighted vector of the IOWA operator is also discussed. 然后利用所导出的有序加权平均(IOWA)算子对各类信息的协商区间和协商值进行集成;并对如何选取IOWA算子加权向量的问题进行了讨论.
- No convergent drawback of the weight vector due to choose the dispersion constant inaccurately in the normalized constant modulus algorithms (NCMA) is overcome. 该算法克服了在一般的常系数盲数字自适应算法中,由于估计幅值选择不合适,所造成加权矢量不收敛的缺点。
- And then, based on WSS, using the Linear-Constrained-Minimum-Variance (LCMV) criterion, the optimal weight vector of sub-array beamformer can be obtained. 然后,在WSS基础上,利用线性约束最小方差(LCMV)准则得到子阵波束形成器最佳权矢量;
- The data space was mapped to high dimension feature space with Mercer kernel function, and fuzzy kernel learning vector quantization (FKLVQ) was done on the feature space to obtain the effective and stable clustering weight vectors. 该方法通过Mercer核,将数据空间映射到高维特征空间,并在此特征空间上进行FKLVQ学习获取数据空间有效且稳定的聚类权矢量,然后在特征空间和输出空间上仅针对各空间的数据样本和它们各自的聚类权矢量进行Sammon非线性核映射。
- For the pose error analysis of a polishing robot,on the basis of Vittorio granularity coding method,an improved genetic neural BP network combining binary with real-value coding is proposed with the network architecture and weight vectors optimized. 针对某打磨机器人的位姿误差分析,提出一种采用二进制和实数值混合编码的遗传BP网络法,同时优化网络结构和权值矢量;
- The complex weighting vectors at other frequencies satisfying the request of wideband constant beamwidth can be deduced from the one at the reference frequency. 其它频率点上满足宽带恒定束宽要求的复权向量可以根据参考频率上的复数权值通过折算求得。
- The inherent topologic relations between the scattered points on the curved surface are reconstructed by the weight vectors of the neurons on the output layer of the neural network. 探讨了曲面密集三维散乱点数据的拓扑矩形网格自组织压缩重建方法。
- At the same time, a Genetic Algorithm (GA) with complex encoding is used to compute the weight vectors, which not only avoids the local extremum but also improves the computing speed. 由于波束形成过程不需要正交化处理,避免了波束形成器锁定噪声的可能性。同时,采用一种复数编码的遗传算法来求解权向量,不但可避免陷入局部极值的可能性,而且还能有效提高运行速度。