提出了一种新的确定径向基函数中心的方法。
A new method that determines radial basis function centers is proposed.
一定基函数之间的系数的比值保持固定在预定值。
Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value.
径向基函数网络具有良好的推广能力和分类能力。
The radial basis function network (RBFN) has good extensible and classified (ability).
介绍了径向基函数(RBF)神经网络的结构和特点。
The structure and features of radial basis function (RBF) network are introduced.
分析了径向基函数(RBF)网络的结构和工作原理。
The structure and principle of Radial Basis Function (RBF) neural network are studied.
采用三角矢量面元(rwg)基函数，模拟电流分布。
The triangle vector basis function (RWG) is employed to simulate the current distribution.
对径向基函数神经网络在数据分类中的应用进行了研究。
The application of radial basic function neural network in the data classification is studied.
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
它可以对多项式函数，神经网络，径向基函数进行训练。
It can train polynomial function, neural networks, or radial basis function (RBF) classifiers.
参数曲线的保形性与生成它的基函数的规范化全正性有关。
Shape preservation of parametric curves is associated with normalized total positivity of its basis functions.
本文研究了径向基函数网络(RBFN)的分类机理问题。
The classification mechanism of a radial basis function network (RBFN) is investigated in this paper.
耦合径向基函数和多项式基函数，形成一种新的近似函数。
A new approximate method based on coupled radial basis functions and polynomial basis functions is presented.
特别是基函数中添加与预计变形相适应的项，结果更为满意。
The results are particularly desirable if we add to the basic functions a term corresponding to the estimated deformation.
在有限条法中，采用幂级数作基函数，运算较为简单、方便。
When the power series is used as the basic functions in the finite strip method, the computation becomes simple and convenient.
这些无网格方法可用径向基函数配置点方法这个框架统一描述。
These meshless methods can be formulated in the general framework of radial basis function collocation techniques.
形函数空间的最后两个基函数采用一般函数加限制条件的形式。
The last two bases of shape function space are general functions restrained by some conditions.
径向基函数（RBF）神经网络隐含层R由一组径向基函数构成。
The hidden-layer R of RBF neural network consists of a set of RBF (radial base function).
选定平面三角形基函数作为型函数，确定了单元方程和单元矩阵；
The triangle base function was selected as shape function, and cell equation and cell matrix were constructed.
径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。
Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
径向基函数网络的性能在很大程度上取决于径基函数中心位置的选取。
Performance of radial basis function network highly depends on the locations of radial basis function centers.
针对模式匹配法的收敛问题和基函数的选取理论进行了深入研究与讨论。
The problem of relative convergence and the theory of determining proper basis functions are investigated and discussed in depth.
为简化模型的计算复杂度，开发了一种基于正交基函数展开的学习算法。
To simplify the calculation, a learning algorithm based on the expansion of the orthogonal basis functions is developed.
提出了一种减聚类径向基函数神经网络的纺织空调送风风机故障诊断方法。
A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.
该算法使用的“链接超平面”模型，也就是以“链接超平面”作为基函数。
The algorithm uses the hinging hyperplanes model that uses hinging hyperplanes as basis functions in expansion.
采用一族能较好地逼近弯剪型变形曲线的正交多项式作基函数来描述位移沿竖向变化。
The orthogonal polynomials approximated to shear-moment deformation curves were employed as the basic function to describe the displacement variation along the vertical.
在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。
The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.
提出了一种用r BF网络(径向基函数网络)简化汽车故障诊断仪数据流功能的方法。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
提出了一种用r BF网络(径向基函数网络)简化汽车故障诊断仪数据流功能的方法。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
应用推荐