在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
计算质量可看成二重或三重积分，这取决于空间维数，取决于密度函数，dA还是。
And mass will be double or triple integral, depending on how many dimensions you have, dV of whatever density function you have, dA or dV.
介绍了一种利用自相关函数来估算图像分形维数的方法，并将其应用到木材的纹理分类检测中。
This paper introduced a method availing autocorrelation functions to estimate the image fractal dimension, and the method can detect classification of the wood texture.
本文提出了分形维数估计的子波函数方法。理论和计算机模拟实验表明，新方法不仅实现简单，而且具有较强的噪声抑制能力。
Wavelet - based method is proposed to estimate fractal dimension. It is shown in theory and in experiment that the new method is simple to implement and robust to noises.
研究了沃尔什函数在测井资料反演中降低反演维数的原理和方法。
The principle and the methodology of Walsh function decreasing the unknowns and reducing the dimensions in well logging data inversion are studied.
讨论了滤波器中时间序列的短时分形盒维数的定义及分形模糊控制函数形式及选用方式。
The definition of short-time fractal box dimension and the fuzzy control function of the filter are discussed.
间距最大化特征选择技术是一种有效的维数约减技术，一般是基于加权技术和相似性度量构造目标函数。
Margin maximization feature weighting is an effective dimension reduction technique, and it is generally based on weighting techniques and similarity measure to construct their objective functions.
用这种方法来估计广义图迭代函数系统生成集的维数。
By that, we will estimate the dimension of a fractal set generated by a graph-directed iterated function system.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory , and the quality of the fuzzy controller was improved.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。
In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult.
新的温度更新函数与退火时间的幂函数成反比，与优化问题的变量维数无关。
The new temperature updating function derived is inversely proportional to a power function of the annealing time and is independent of the dimension of the optimization problems.
径向基函数插值是一种新型的无网格插值方法，具有形式简单、空间维数无关等优点。
Radial basic function is a recent meshless interpolation technique. It has a very simply form and no correlation with the space dimensions.
针对粒子群算法用于高维数、多局部极值点的复杂函数寻优时易陷入局部最优解现象，提出一种改进的带扰动项粒子群算法并进行收敛性分析。
Traditional particle swarm optimization(PSO) algorithms often trap into local minima easily when used for the optimization of high-dimensional complex functions with a lot of local minima.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
另一方面，发现可以通过选取合适的坐标系可有效地降低积分动量的维数，同样可以求得关联函数的解析式来。
On the other hand, it is found that choosing the appropriate coordinate system can effectively reduce the integration variable dimension and finally arrive at the same result.
完备度量空间上迭代函数系统的不变集性质及测度的维数是分形几何研究的主要对象。
The property of the invariant set and measure's dimension of the IFS are main objects in the studying of fractal geometry.
函数法计算磨损表面轮廓的分形维数和尺度系数。
Fractal dimension and scale coefficient of surface profiles are calculated using structure function method.
本文以抽水蓄能电站及有压引水式水电站为典型对象对水力系统各建筑物建立了整体参数优化数学模型，其后又针对该模型的目标函数不可求导、计算量大、维数多、非线性的特点。
This paper take pumped storage station and diversion type power station as typical objects of study and gives out a global optimal model of the parameters of the water way structures.
随着半导体器件参数的增加，目标函数的自变量空间维数变得越来越大。
With the increase of the number of parameters in semiconductor devices, the dimensions of space in which the object function exists become larger and larger.
随着半导体器件参数的增加，目标函数的自变量空间维数变得越来越大。
With the increase of the number of parameters in semiconductor devices, the dimensions of space in which the object function exists become larger and larger.
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