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rbf
相关语句
  径向基
    The result shows that the meshless method of Galerkin type with RBF is an efficient and high precision method.
    结果表明具径向基函数的Galerkin型无网格方法是求解Helmholtz方程的一种有效且精度高的方法.
短句来源
    Study on Commercial Bank Risk Early Warning System Based on RBF Neural Network
    基于径向基神经网络的商业银行风险预警系统研究
短句来源
    Radius basis function(RBF) neural network is applied in scattered data interpolation and smooth interpolation of scattered data on a surface.
    针对径向基函数 (RBF)神经网络的特点 ,结合网络设计工作 ,对计算机辅助几何设计 (简称CAGD)中的散乱数据插值和曲面上离散点集的光滑插值问题 ,采用RBF神经网络进行求解 .
短句来源
    The hidden-layer R of RBF neural network consists of a set of RBF (radial base function).
    径向基函数(RBF)神经网络隐含层R由一组径向基函数构成。
短句来源
    the RBF kernel function with the width of 1 is the most efficient. The precision、recall、F-measure are 0.85、0.8、0.83.
    支持向量机采用参数为1时的径向基核函数具有较好的分类效果,分类结果精度、召回率、F-measure分别达到0.85、0.8、0.83。
短句来源
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  “rbf”译为未确定词的双语例句
    A NEW METHOD TO IMPROVE THE GENERALIZATION PROPERTIES OF RBF NETWORKS
    提高RBF网络推广能力的一种新方法
短句来源
    Aiming at the quantitative comprehensive evaluation of the third party reverse logistics enterprises,the paper establishes the evaluation index system and develops an intelligent,quantitative RBF network comprehensive evaluation model that simulates the thinking of experts for the third party reverse logistics enterprises based on an improved Hard C-Means Algorithm.
    针对第三方逆向物流企业定量化综合评价问题,构建了逆向物流企业综合评价指标体系,并基于改进的HCM算法,提出了一套能够模拟专家思想的智能型逆向物流企业定量化RBF网络综合评价模型。
短句来源
    Improved of the identification of nonlinear dynamic system based on RBF neural networks
    基于RBF网络的非线性动力系统辨识方法的改进
短句来源
    Application of Multiobjective Genetic Algorithms in RBF Neural Networks
    多目标遗传算法在RBF网络中的应用
短句来源
    RBF neural network method for pattern classification of share tendency
    个股走势模式分类的RBF神经网络方法
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  rbf
At the same time, linear regression, nonlinear regression and radial basis function (RBF) neural network models are set up to evaluate weld quality between the selected parameters and tensile-shear strength.
      
For the RBF neural network model, which is more effective for monitoring weld quality than the others, the average error validated is 2.88% and the maximal error validated is under 10%.
      
The provision of residents of the European North of Russia with vitamin B2 (riboflavin (RBF)) and the activity of the erythrocytic RBF-dependent enzyme glutathione reductase (EC 1.6.4.2) were studied.
      
in residents of the European North of juvenile and senile age The provision with RBF showed a tendency toward a decrease as compared to other age groups of the population.
      
The parameters of provision with RBF were correlated significantly with the level of physical activity, alcohol status, and season of the year.
      
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RBF neural networks provide a powerful technique to model nonlinearmapping.The learning algorithm for RBF networks corresponds to the solution of alinear problem, therefore fast. However, if the data are contaminated by additivenoise,the approximation function will oscillate rapidly. As a result,the generalizationproperties are restricted. Some smoothing method had been advanced in earner works.A new smoothing method is presental in this paper. Experimental results show thatthe generalization properties...

RBF neural networks provide a powerful technique to model nonlinearmapping.The learning algorithm for RBF networks corresponds to the solution of alinear problem, therefore fast. However, if the data are contaminated by additivenoise,the approximation function will oscillate rapidly. As a result,the generalizationproperties are restricted. Some smoothing method had been advanced in earner works.A new smoothing method is presental in this paper. Experimental results show thatthe generalization properties are improved,

用RBF网络为非线性映射建模,其学习算法对应于求解线性问题,因而学习速度快。然而在样本数据含有加性噪声的情况下,拟合函数会出现迅速振荡,使推广能力受到限制。过去曾提出过一些平滑算法。本文提出了一个新的平滑算法。实验结果表明,网络的推广能力有进一步的提高。

This paper first surveys the structure, types, approximation theory, and training methods of the RBF neural network, then analyzes the advantages and problems. At the same time, some typical applications in control have been discussed. At last the new trends of the applications in control are pointed out.

针对即使是全局收敛的变型标准遗传算法VCGA[1]有时也会发生收敛速度变慢的问题,提出了VCGA和最陡下降法相结合的混合法HVCSDA.该方法增强了VCGA在接近全局最优解时的微调能力.还将HVCSDA推广到一类修正的VCGA上.仿真实例表明了HVCSDA及其推广能有效地提高收敛速度.对30城市TSP的仿真结果为6.822,要好于用TABU得到的6.99的结果[6].

A kind of multivariable pattern of Lagrange interpolation polynomial and the way to realize it by neural network which parallels the RBF is given. The phenomenon of multi pattern is discussed. For example, we point out that identifying the irrelevant information only by the set of weights of the trained neural network is incredible.

本文给出了Lagrange插值多项式在多元情况下的一个推广。讨论了多元插值问题在三层BP神经网络上的实现。得出了与径向基方法基本平行的结果。根据这些结果,指出了神经网络学习过程中可能出现的多模式现象。并举例说明,由于存在这种多模式现象,仅根据神经网络的学习权值的分布来判定输入因素是否重要,可能导致错误的结论。

 
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