A multistage median filter based on RBF classifier is proposed.
提出一种基于RBF网络分类的多级中值滤波器。
The structure and rational of RBF neural network are presented in detail.
详细地介绍了径向基神经网络的结构和基本原理。
RBF neural network is adopted to test the LF damage quantity of steel wire-rope.
采用径向基神经网络对钢丝绳断丝损伤进行定量识别。
Then, the modified RBF nerve network is used to predict the load of gas pipeline.
再利用改进的RBF神经网络进行天然气管网负荷的预测。
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。
Still trying different interpolation methods, such as Inverse Distance, RBF, Spline etc.
依旧在尝试不同的差值方法，包括反向距离权重、RBF、样条等等。
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。
Now, general prediction neural network has BP neural network and RBF neural network mainly.
目前常用的预测神经网络主要有BP神经网络和RBF神经网络。
A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.
设计了一种基于RBF网络和遗传优化的船舶操纵模糊控制器。
The mechanical background for structural approximate analysis with RBF NN has been researched.
研究了基于RBF网络的结构近似分析的力学基础。
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。
In this paper, an RBF neural network approach is applied to aeroengine gas path fault diagnosis.
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。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
The radial basis function (RBF) neural network is adopted to analyze and predict freight volumes.
本文采用径向基函数(RBF)神经网络对货运量进行分析及预测。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
提出一种基于属性重要性的粗糙rbf神经网络模型。
It mainly consists of a thick tin oxide gas sensor array and radial basis function(RBF) neural network.
该电子鼻主要由一组厚膜金属氧化锡气体传感器阵列和RBF神经网络组成。
The feature level module adopts RBF neural network to extract feature of data and to make feature fusion.
特征级融合模块采用RBF神经网络，其功能是提取数据特征进而特征信息融合。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
The modelling problem of multivariable system using radial basis function (RBF) neural networks is studied.
采用径向基函数（RBF）神经网络进行多变量系统的建模研究。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
Laser antiintrusion alarm system's decision making system uses the RBF neural network of patternrecognition.
激光防入侵报警系统的决策系统中运用了模式识别中的RBF神经网。
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。
A new kind of training method of RBF neural network is given, which is a method based on strong tracking filter.
文中给出了一种新的RBF神经网络训练方法，即基于强跟踪滤波器的训练方法。
RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
RBF神经网络是一种三层前向网络，可有效用来进行非线性模型的辨识。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
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。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法。
The results showed that RBF NN can distinguish magnetizing inrush currents from internal fault currents correctly.
结果表明：RBF神经网络可以正确地区分励磁涌流和短路电流。
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。
Compared with traditional BP network, the result indicated that RBF has better accuracy and adaptability of the network.
与传统的BP神经网络模型相比较，结果表明，RBF网络具有更高的精度和更好的泛化能力。
Compared with traditional BP network, the result indicated that RBF has better accuracy and adaptability of the network.
与传统的BP神经网络模型相比较，结果表明，RBF网络具有更高的精度和更好的泛化能力。
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