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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
应用推荐