This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
When error goal is 0. 01 and speed constant of radial basis function is 4, the network achieves optimization, and the total correct rate is 96%.
结果表明当目标误差为0．01，径向基函数的分布常数为4时，网络达到最优化，总的正确识别率为96％。
The method of fundamental solutions(MFS), one of the radial basis function(RBF) methods, employs the fundamental solutions to the governing differential operator as the Euclidean distance based RBF.
基本解方法属于径向基函数类方法，它使用微分算子的基本解作为基于欧氏距离的径向基函数。
The numerical example shows that increasing the item of radial basis function is not a right way to improve the accuracy of results, and more approximation functions should be employed in the DRBEM.
计算结果表明增加径向基函数的项数并不是改善结果的好办法，应该将更多的函数引入双互易边界元法中。
When the error goal is 0. 01 and speed constant of radial basis function is 5, and the network achieves the optimization, and the total correct rate is 98%.
当目标误差为0．01，径向基函数的分布常数为5时，网络达到最优化，总的正确识别率为98％。
It can train polynomial function, neural networks, or radial basis function (RBF) classifiers.
它可以对多项式函数，神经网络，径向基函数进行训练。
Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.
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。
Performance of radial basis function network highly depends on the locations of radial basis function centers.
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。
The structure and features of radial basis function (RBF) network are introduced.
介绍了径向基函数(RBF)神经网络的结构和特点。
These meshless methods can be formulated in the general framework of radial basis function collocation techniques.
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。
The level set method was adopted to describing the structural topology and its change, and the compactly supported radial basis function was introduced to getting the parametric level set method.
采用水平集方法描述结构的拓扑及其变化，使用紧支径向基函数对计算区域的水平集进行插值以得到参数化的水平集方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
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 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 prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
A new method that determines radial basis function centers is proposed.
提出了一种新的确定径向基函数中心的方法。
A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure.
在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数，使网络结构得到优化。
It is concluded that the radial basis function collocation techniques coupled with regularization methods could be competitive alternatives to existing methods for these problems.
数值实验表明，径向基函数配置点方法与正则化方法耦合能有效求解椭圆型偏微分方程反问题。
A learning algorithm of subtractive clustering method for RBFNN is used to obtain the parameters of radial basis function, so that RBFNN has an optimized structure.
在RBF神经网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数，从而使神经网络结构得到优化。
People put forward radial basis function networks considering the conventional BP algorithm problems of slow convergence speed and easily getting into local dinky value.
对于传统BP算法存在的收敛速度慢和易陷入局部极小值问题，人们提出了径向基函数网络。
Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.
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。
Energy consumption prediction is made by the use of radial basis function (RBF) neural network method, and energy consumption prediction model based on RBF neural network is established.
采用径向基函数(RBF)神经网络方法进行能源消费量预测，建立了基于RBF神经网络的能源消费量预测模型。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
Lastly, the optimized proportional navigation of modern fighter is researched with radial basis function (RBF).
最后，用径向基神经网络原理对载机导引器的优化作了研究。
The gear shifting modeling problem for automated transmission is studied. The gear shift modeling method using radial basis function networks(RBFN) and arithmetic is introduced.
研究了车辆自动变速器的换挡建模问题，介绍了利用径向基神经网络（RBFN）的换挡建模方法和算法；
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
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 new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
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