参数化

The new sparse algorithms were applied to several real life pattern classification problems.6. Based on the singular value decomposition of kernel matrix, SVD-LSSVM was proposed, which oan save time for hyper parameters selection via cross validation.

另外，本文提出的稀疏化算法可直接应用于多类问题。6、本文利用核函数矩阵的奇异值分解，得到了可以节省超参数选取时间的分类器：SVD-LSSVM。

We extended the Safety Margin theory, the flight parameters transferred to the singular space through the SVD method. This conception created the Safety Margin Terrain and showed the geometry properties of current flight.

而将飞航安全几何化的观点再做推展，透过奇异值分解的方法，将参数转换至奇异空间，再利用几何方程式，拟合飞航安全裕度於奇异空间中的曲线，求得安全裕度地形，并由此模型计算出每一航班之几何变化，并藉由此方法可求得当下飞航安全裕度的几何特性，表示当飞航安全的状态。

Chapter 3 introduces the research contents and the results of the model test about the Xiangjiaba tailrace tunnel with sloping ceiling.

本章根据物理模型的试验条件和试验工况进行相应的数值计算，即在数值计算中，输入的管道、机组特性等参数均为模型试验实测数据，程序根据模型比尺输出原型的计算结果信息，并与原型化后的模型试验数据分析比较。

Finally we derive the equivalent transfer functions using reduction rules and interesting important performance indices, for example, steady probability, mean first and nth passage time, mean recurrence time, the mean sojourn time, and counters of the transition and place can be find.

最后用化简规则获得等效传递函数，求出我们关心的重要参数的数值。

Objective To assess the methylation patterns in CpG islands of SPARC genes and its relationship with clinicopathological parameters.

目的 检测胰腺癌SPARC基因CpG岛的甲基化状态及其与临床病理参数的关系。

By using optimization techniques, we estimated parameters from these models as the candidate indicators of spasticity.

我们运用最佳化技术来估计这些模型的参数作为痉挛程度的可能指标。

Set type specifiers are passed as instantiation arguments to bimap and provide the information needed to incorporate the corresponding views.

集合类型规格被作为实例化参数传递给 bimap ，提供了组成相应视图所需的信息。

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。

Combining the development condition of Shaanxi Apple industrial clusters ,determine the reasonable random uncertainty parameters of the model of, and explaining the application of statistical 生物论文 hypothesis testing.

同时结合陕西渭北苹果产业集群理学论文的发展现状，合理地确定了模型中出现的随机化不确定参数，并介绍了统计假设检验法的应用。

Quasi Hamiltonian system; nonlinear stochastic optimal control; robustness; robust control; parametric uncertainty; uncertain disturbance; Bouc-Wen hysteretic system; Preisach hysteretic system; minimax optimal control; stochastic stabilization; stochastic averaging method; stochastic dynamical programming principle; stochastic differential game; maximal Lyapunov exponent

国家自然科学基金；拟Hamilton系统；非线性随机最优控制；鲁棒性；鲁棒控制；参数不确定性；不确定扰动； Bouc-Wen滞迟系统； Preisach滞迟系统；极小极大最优控制；随机稳定化；随机平均法；随机动态规划原理；随机微分对策；最大Lyapunov指数

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。