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.
本文提出了一种径向基函数神经网络的有效在线学习方法。
This paper proposes an efficient on-line learning method for radial basis function (RBF) neural networks.
利用径向基函数神经网络和选择的特征值对缺陷进行分类。
Defects are classified by radial basis function (RBF) network and features selected.
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。
Therefore, the radial basis function neural network is proposed to apply to comprehensive evaluation of dam safety.
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.
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。
A 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。
A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is studied.
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。
The rare suspension damping parameters of a jeep were optimized with radial basis function neural network.
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.
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.
然后基于径向基函数神经网络的信息融合技术建立全舰统一姿态基准系统。
Then the unite attitude reference system of the whole ship is built based on the information fusion on the radial basis function neural networks.
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.
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 this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
以径向基函数神经网络作为软测量模型，在软测量建模中引入正则化学习算法。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
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。
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.
预测结果表明，径向基函数神经网络需水预测模型运算速度快，有较高的预测精度。
Abundant water demand predicting factors were used as the input data of the model, and the RBF neural network output the water demand predicting values.
径向基函数神经网络的隐含层到输出层的线性连接权值，则是由最小二乘法来计算得到的。
The connection weights between hidden layer and output layer are got by Least Mean Square Algorithm.
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 paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
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。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
将神经网络应用于光纤传感器的光强补偿，提出了一种基于径向基函数神经网络的光强补偿方法。
Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
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。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
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.
针对PSD非线性对激光测平仪测量范围和测量精度的影响，采用一种新方法——径向基函数神经网络算法。
To eliminate the influence of nonlinear error of PSD on the measurement scale and accuracy of laser leveling tester, a new method of Radical Basis Function (RBF) neural network was used.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
提出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，建立了相应的数学模型和约束条件。
The method for data processing of synthetic characteristics curve of hydraulic turbine is proposed, the corresponding mathematical model and the condition of constraint is established.
在径向基函数神经网络中，隐层中心的数量和位置的选择是整个网络性能优劣的关键，直接影响网络的分类能力。
The choice of quantity and position of hidden layer radial basis functions is very important and directly affects the goodness of fit of overall network classification ability.
在径向基函数神经网络中，隐层中心的数量和位置的选择是整个网络性能优劣的关键，直接影响网络的分类能力。
The choice of quantity and position of hidden layer radial basis functions is very important and directly affects the goodness of fit of overall network classification ability.
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