核函数分别采用多项式和径向基函数。
The kernel functions are generated to use polynomials and radial basic functions.
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.
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.
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.
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.
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.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
文章采用径向基函数神经元网络建立了加氢精制反应器数学模型。
Based on the radial basis function neural networks this paper has established a model of a catalytic hydrofining.
采用径向基函数（RBF）神经网络进行多变量系统的建模研究。
The modelling problem of multivariable system using radial basis function (RBF) neural networks is studied.
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).
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.
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.
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.
本文将径向基函数(RBF)神经网络应用到航空发动机故障诊断中。
In this paper, an RBF neural network approach is applied to aeroengine gas path fault diagnosis.
最后，利用径向基函数网络强大的函数逼近功能，识别内燃机气缸压力。
Finally, the cylinder pressure is identified by using radial base function (RBF) network, which is featured with the powerful functional approach.
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.
径向基函数神经网络是一种拓扑结构简单、学习过程透明的神经网络模型。
Radial Basis Function Neural Network is a kind of Neural Networks which have simple topological structure and clear learn procedure.
介绍了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法。
The method of data treatment concerning hydroturbine synthetic characteristic curve by radial basis networks is introduced.
提出一种交替梯度算法，对径向基函数(RBF)神经网络的训练进行改进。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
基于径向基函数神经网络，建立了大坝安全自动化监测的非线性故障自诊断系统。
Based on the Radial Basis Function neural network, a kind of fault auto-diagnosis system of dam safety monitoring is established.
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。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
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.
针对文本自动分类问题，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。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
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。
People put forward radial basis function networks considering the conventional BP algorithm problems of slow convergence speed and easily getting into local dinky value.
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