An adaptive radial basis function neural network (ARBFNN) power control scheme is proposed.
提出了一种自适应r BF神经网络功率控制方案。
A novel radial basis function neural network based on ant colony clustering (RBF-ACC) was proposed.
提出了一种基于蚁群聚类算法的径向基神经网络。
The rare suspension damping parameters of a jeep were optimized with radial basis function neural network.
以某汽车为例，采用径向基函数神经网络对后悬架的阻尼进行了优化。
Afterward, its output is estimated by radial basis function neural network (RBFNN) for extracting SEP features.
后级使用径向基神经网络作信号拟合，提取SEP信号的特征。
Therefore, the radial basis function neural network is proposed to apply to comprehensive evaluation of dam safety.
为此，提出将径向基函数神经网络应用于大坝安全综合评价。
Based on the Radial Basis Function neural network, a kind of fault auto-diagnosis system of dam safety monitoring is established.
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。
In this paper, radial basis function neural network was employed to approximate the nonlinear complex relationship of all factors.
本文使用径向基神经网络确定各个因素之间的非线性复杂关系。
Radial Basis Function Neural Network is a kind of Neural Networks which have simple topological structure and clear learn procedure.
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。
Results of prediction experiments with real data prove the efficiency of our prediction method based on Radial Basis Function neural network.
结果表明，用径向基神经网络预测股价是可行的和有效的。
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
利用时变基频的求解方法，建立基于径向基函数网络的时变基频识别模型，解决“深度”复杂性问题；
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。
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。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。
In the second order, radial basis function neural network was applied to estimate the flow rate of the pump at different rotational speed of the blood pump.
在第二级中，运用径向基网络估计血泵转速连续变化对流量的影响。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
在探索单尺度径向小波框架与径向基函数网络对函数逼近特性相似的基础上，构造了单尺度径向基小波网络。
Radial Basis Function Neural network is an effective feedforward network. It has high convergence rate and high approaching precision, and can avoid local optima.
径向基函数神经网络是其中的一类非常有效的前馈网络，具有收敛速度快、逼近精度高、可避免局部最小等优越性。
A novel algorithm for optimizing the structure and parameters of Direction of Arrival (DOA) estimation model based on radial basis function neural network is presented.
提出一种优化径向基函数神经网络来波方位(DOA)估计模型结构和参数的方法。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
The radial basis function neural network has advantages over the BP network model in the aspects of network configuration, network performance and the network fault-tolerant performance etc.
径向基函数网络无论是在网络结构、网络性能还是网络容错性等方面都要明显优于BP网络模型；
The method of radial basis function neural network (RBFNN) is given to correct the nonlinear errors of the sensors. A BP neural network has been developed to solve the same problem for comparison.
提出了传感器非线性误差校正的径向基函数(RBF)神经网络方法，并与采用BP神经网络校正非线性误差进行了比较。
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 cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.
提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。
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。
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。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
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.
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。
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