As one of FNN, RBF network is also widely used in many fields.
R BF神经网络作为多层前向神经网络的一种，同样有着广泛的应用。
In this paper, we put forward using RBF network to flatness pattern recognition.
本文提出了基于模糊距离的R BF网络板形缺陷模式识别法。
Simulation results show that combined RBF network is prior to traditional networks.
结果表明，该网络较传统的分类方法有着很大的优越性。
RBF network on line recognition, single neuron PID control and control algorithm are introduced.
介绍了RBF网络在线辨识、单神经元PID控制器和控制算法。
A novel approach of nonlinear distortion compensation technique based on RBF network is proposed here.
提出了一种基于RBF神经网络的非线性失真补偿技术。
Two kinds of methods, BP network and RBF network, were used to model and predict for the Dynamic Error.
利用BP网络以及RBF网络两种方法分别进行动态误差的建模和预测。
A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.
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。
This method uses the liability of self-study and self-adaptability of RBF network to turning parameters of system.
该方法利用RBF神经网络的自学习、自适应能力自调整系统的控制参数。
And damage situation of cable-stayed cable is simulated by using RBF network based on finite element model in ANSYS.
基于ANSYS有限元模型，采用RBF网络，模拟了斜拉索的损伤情况。
The results indicate that the method is feasible and the prediction capability of ANFIS is superior to the RBF network.
结果表明，利用神经网络进行可靠度时序预测是可行的，并且ANFIS的预测能力要优于rbf。
SO the RBF network is very suitable for intrusion detection test which has the high requirements of efficiency and speed.
并且R BF网络结构也简单、学习速度快，非常适合入侵检测对于检测效率和速度的高要求。
The paper presented an idea of applying information fusion technology based on RBF network in fault diagnosis of gas sensor.
文章提出了将基于RBF网络的信息融合技术应用于瓦斯传感器故障诊断的思想。
A new model of lake and reservoir eutrophication assessment can be established with RBF network of artificial neural network.
运用人工神经网络中的RBF网络算法，建立一种新的湖库水质富营养化程度评价模型。
Compared with RBF Network, it is concluded that learning algorithm is master key to improve properties of Artificial Neural Network.
与工具箱的RBF网络相比较，说明网络的学习算法是改善网络性能的关键。
Result of traditional RBF network may not be the best, if network structure is defined by empirical formula or the tester before training.
由于传统RBF神经网络在学习前需要通过经验公式或实验者人为确定网络结构，这样训练出的网络往往并非最优。
The RBF network in rolling mill eccentricity compensation system is introduced, and the block diagram of eccentricity compensation is given.
将R BF网络引入轧机中轧辊的偏心补偿系统中。给出了实现偏心补偿控制的系统结构框图。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
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。
The RBF network is trained by the real- time data of all kinds of correlative parameters. It is used to estimate the water drum level with high accuracy.
首先用影响汽包水位的各种相关参量的实测数据对RBF网络进行训练，然后用达到训练目标的RBF网络对汽包水位进行较高精度的估值；
Checked by the experiments, the improved RBF network has less hidden neural units than before, at the same time keep the accurate of RBF based classifier.
经实验证明，基于改进后的RBF网络具有更少的隐含神经元，但仍然保持了基于RBF网络分类器的准确率。
In this paper, the fifing method which stimulates the Geoid using quadric polynomial, BP network and RBF network are provided for the GPS height conversion.
本文采用二次曲面拟合、BP网络和RBF网络进行了GPS高程转换，并在网络结构改进等方面作了分析。
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。
In the RBF network, to overcome the defects of traditional K-means scheme with local search, an orthogonal least square algorithm is used to select RBF center.
在RBF网络中，为了克服传统K均值聚类法局部寻优的缺陷，采用了正交最小二乘法选取rBF中心。
In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail.
详细综述了BP网络、R BF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。
The RBF network configuration is formulated as a minimization problem with respect to the number of hidden layer nodes, the center locations and the connection weights.
R BF网络的设计问题就是关于网络隐节点数和隐层节点RBF函数中心、宽度和隐层到输出层的权值的性能指标的最小化问题。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
Aiming at the problem of weak object detection with complex background, a detection algorithm based on composite RBF network and chaotic theory is presented in this paper.
针对复杂背景中的弱目标检测问题，提出了一种基于组合r BF网络及混沌理论的检测算法。
Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
RBF Network and SVM model are used to set up the image model of arc sound signal and welding state in order to realize the pattern recognition on-line of the welding conditions.
利用R BF人工神经网络及SVM模型建立电弧声信号与焊接状态的映射模型，从而实现焊接过程状态的模式识别。
RBF Network and SVM model are used to set up the image model of arc sound signal and welding state in order to realize the pattern recognition on-line of the welding conditions.
利用R BF人工神经网络及SVM模型建立电弧声信号与焊接状态的映射模型，从而实现焊接过程状态的模式识别。
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