研究非线性函数的优化问题。
The optimizing problems of nonlinear functions are discussed.
模糊系统对非线性函数逼近能力的研究。
系统的控制矩阵是状态变量的非线性函数矩阵。
The control matrixes of system arc nonlinear function matrixes for state variables.
最后将所提出的方法用于解决非线性函数的逼近问题。
Finally, the proposed method is applied to the problem of nonlinear function approximation.
作为摄动因素的摩擦力是滑动速度的任意非线性函数。
The sliding friction is an arbitrary nonlinear function of the sliding speed.
将非线性函数引入学习过程，由算法自动调节学习速率。
Used nonlinear function in learning, the algorithms can adjust automatically convergent rate.
试验结果证明，触头间隙的击穿电压是触头间距的非线性函数。
The results are summarized, so as to express the breakdown voltage as nonlinear function of the spacing of the contact.
本文提出了一种对具有不等式约束的非线性函数进行寻优的直接方法。
This paper introduces a method of direct searching optimal value for nonlinear functions with inequality constraints.
中厚板热轧过程中的头部弯曲是一个极其复杂的多元非线性函数关系。
Head bending in the process of hot rolling of plate is an extremely complicated multi element non-linear relationship.
通过构造一个新的非线性函数，研究一类多折叠环面多涡卷混沌产生器。
A new type of multi-folded torus and multi-scroll chaotic generator is studied by constructing a new nonlinear function.
而该系统中的非线性元件和非线性函数项有一个特殊性质，即跳跃随机性。
But the nonlinear element and nonlinear function of such systems have are a special property, namely the jump stochasticity property.
跳跃随机性是确定的非线性函数项和确定的非线性元件所特有的内随机源。
The jump stochasticity property is due to an intrinsic stochasticity source which belongs to both deterministic nonlinear element and nonlinear function.
选取满足条件的不同非线性函数可以得到不同形式的非线性扩张状态观测器。
A different nonlinear function that satisfies some conditions can be lead to a nonlinear ESO with different forms.
非线性函数逼近作为统计理论的一个重要分支，在模式识别中有着广泛的应用。
As one of the important branches in statistic theory, the non-linear function has a large application in model-identification.
这种方法将改进BP算法中的动量项由常量改换为一类关于常量的非线性函数。
This method makes the nonlinear property of momentum term instead of the momentum term in improved BP algorithm.
文中，无论输入支路或中间支路，其支路增益可以是某一系统参数的非线性函数。
In our signal flow graph, the branch gains for the input branches and the intermediate branches are the nonlinear function of the system parameter for finding the sensitivity.
非线性函数空间的测量数据处理问题是测量数据处理理论研究中的前沿课题之一。
The question of surveying data processing in space of nonlinear functions is one front line task in this field.
热电式风速传感器感应输出的电信号与实际风速之间存在复杂的非线性函数关系。
There is a complex relation of nonlinear function between the actual wind velocity and the output 's signals by the thermoelectric anemometers sensor.
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
本文通过研究主动脉容积变化微分方程，导出了心阻抗图与心脏射血的非线性函数关系。
This paper derived a non-Linear function relationship between the cardiac impedance plethysmogram and the heart ejection by researching differential equation of the aortic volume change.
另一方面又利用矩阵理论等推导出含有二次项的非线性函数的协方差传播公式的矩阵形式。
On the other hand, it also derives the covariance propagation formula of non-linear function containing quadratic term in matrix form using the matrix theory etc.
径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。
Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.
在此基础上，利用人工神经网络强大的非线性函数逼近能力，实现对建筑工程质量水平的评价。
On this basis, accomplishes the stage forecast for construction project quality evaluation based on the great nonlinear function approaching capability of the ANN.
在许多盲信号源分离算法中，大多需要选择合适的非线性函数或者需要计算信号的高阶统计量。
In many algorithms for blind source separation, most of them must select nonlinear function or compute high-order statistical values.
在编程技术方面，将改进的牛顿迭代法与函数调用相结合，解决了非线性函数的输入与转移问题。
In respect of programming, the improved Newton iteration algorithm is associated with function designations, therefore input and transfer of nonlinear functions are solved.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classic BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classical BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classical BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
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