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Feedforward neural networks of FEL control strategy was designed, using ADALINE neural networks, normalized LMS, plus characteristics of sinusoidal function.

利用ADALINE神经网络、归一化LMS算法、结合正弦函数的特点,设计FEL控制策略中的前馈神经网络。

In structured P2P networks, the skewness in query pattern can result in load imbalance and even congestion.

针对结构化对等网络中存在的由查询负载不均衡所导致的拥塞问题,提出一种基于动态入度调整的拥塞控制算法。

This procedure is based on graphical, slow-motion show the classic board covering algorithm problem.

详细说明:本程序是以图形化,慢动作显示经典棋盘覆盖算法问题。

By means of uniform orthogonal sampling, we represent the shape signature of each model as a statistical distribution of its surface normals weighted by view-dependent depth. The distribution is further processed by spherical harmonics analysis to construct the final representation. By calculating the distance between shape descriptors of individual 3D models, a faithful similarity measurement is achieved.

算法从规一化处理后的物体形状出发,计算视点相关的深度加权的物体表面法向统计分布,并对该分布实行球面调和分析,得到深度加权法向映射特征,进而利用特征之间的距离度量任意三维模型之间的相似性。

For further study to improve performance, an adaptive control algorithm based on Neural Network is tried in stabilization control. A new method of selecting the initial weights of Neural Network is put forward, which is that the coefficients of discrete equivalent of continuous transfer function in traditional control are used as the initial weights of Neural Network. Adaptive Neural Network control is combined with traditional control by using different method in different segment.

作为进一步提高稳定系统性能的探讨,对基于神经网络的参数自适应调整控制方法在稳定控制中的应用进行了研究,提出了将传统校正方法经离散化后所得到的数字控制算法的系数作为神经网络权值初值的新方法,并采用分段控制,将传统校正方法和神经网络控制方法相结合,取得了较好的控制效果。

An on-line blind source separation algorithm of non-stationary mixed signals is presented. The algorithm uses the multiple time-delayed decorrelation and natural gradient rule to obtain the stationary point of the cost function, only a small number of observed samples is needed to minimize the Frobenius norm of the correlation matrices, so the computing cost is low and continuous separation calculation could be realized by on-line operation.

利用一种基于多时延解相关准则的代价函数和自然梯度原则,分别推导出非平稳信号在瞬态线性混合及卷积混合情况下的在线盲分离算法,仅通过对有限个时延样本的相关矩阵进行Frobenius范数最小化运算得到分离矩阵,计算工作量小,无需对样本进行分块处理,可实现对信号的连续跟踪操作。

The algorithm integrates 3D finite element performance analysis, steepest descent method with design sensitivity and mesh relocation method.

该算法将性能分析、最速下降法与灵敏度计算以及网格更新有效结合,构成集成化设计系统,并成功地用于电磁屏蔽钢板和变压器油箱屏蔽的最优形状设计。

By combining the one dimensional search procedure in the determinate nonlinear programming problem with the stochastic approximation procedure, a new yield optimization algorithm is proposed and the rate of convergence is increased.

将确定性非线性规化问题求解的一维搜索过程与随机逼近搜索过程结合,提出了一种全新的合格率优化算法,进一步提高了合格率优化过程的收敛速度。

In the first study of this thesis, we propose a novel stylization algorithm for high dynamic range images.

本文针对上述缺失提出一个可适用於高动态范围影像的风格化演算法。

In the second study of this thesis, we combine the data hiding technique with our stylization algorithm.

我们提出一个高动态范围影像伪装演算法,结合风格化技术与资讯隐藏技术。

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