The radial basis function network (RBFN) has good extensible and classified (ability).
径向基函数网络具有良好的推广能力和分类能力。
A constructive theory and its constructive algorithm of radial basis function network are presented.
通过对径向基神经网络的研究，提出了径向基神经网络的构造性理论及其构造算法。
The classification mechanism of a radial basis function network (RBFN) is investigated in this paper.
本文研究了径向基函数网络(RBFN)的分类机理问题。
Performance of radial basis function network highly depends on the locations of radial basis function centers.
径向基函数网络的性能在很大程度上取决于径基函数中心位置的选取。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
文本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。
A novel pattern recognition method based on wavelet packet analysis and radial basis function network is presented in this paper.
论文给出了改进型径向基网络应用示例，验证了改进型径向基网络的函数实现功能和模式分类功能。
The problem of recognition of numeric text in topographic maps based on radial basis function network (RBFN) is discussed in this paper.
讨论了基于径向基函数网络(RBFN)的地图数字注记识别问题。
Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.
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。
A novel forecasting model for compressor casing wall pressure based on phase space reconstruction and radial basis function network was established.
建立了基于相空间重构和径向基神经网络的压气机机匣静压的预测模型。
This article presents surface fitting by use of radial basis function network approach dealing with 3d discrete data, and visualization of 3d data is achieved.
运用径向基函数网络方法将三维离散数据拟合成曲面，实现了三维数据可视化。
This paper presents a new leaning method for radial basis function network, minimum mean entropy difference criterion algorithm is used to get pattern cluster of training sets.
本文对径向基函数网络提出了一种新的学习算法，利用最小均熵差准则对训练样本进行模式聚类。
The radial basis function network is proposed to use in the determination of pulp kappa number with near-infrared spectroscopy in order to increase precision of kappa number determination.
为了提高制浆过程中的在线预测纸浆卡伯值的精度，提出采用径向基函数网络来建立纸浆卡伯值近红外光谱法在线测量模型。
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。
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。
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。
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 structure and principle of Radial Basis Function (RBF) neural network are studied.
分析了径向基函数(RBF)网络的结构和工作原理。
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。
Among them, the Radial Basis Function (RBF) neural network is a better model.
在这些预测模型中性能比较突出的是径向基函数网络(rbf)法。
When error goal is 0. 01 and speed constant of radial basis function is 4, the network achieves optimization, and the total correct rate is 96%.
结果表明当目标误差为0．01，径向基函数的分布常数为4时，网络达到最优化，总的正确识别率为96％。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
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。
A self_calibrating PCC CAM controller based on RBF (Radial Basis Function) network is presented.
提出了一种基于径向基函数(RBF)网络的具有自校正功能的PCC协联控制器。
When the error goal is 0. 01 and speed constant of radial basis function is 5, and the network achieves the optimization, and the total correct rate is 98%.
当目标误差为0．01，径向基函数的分布常数为5时，网络达到最优化，总的正确识别率为98％。
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。
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。
This paper introduces the radial basis function (RBF) network in the seismic data processing, and realizes the inserting data in seismic data processing with function approximation method.
该文将径向基函数网络引入地震数据处理中，实现了函数逼近法地震数据的插值处理，在实际地震数据处理中取得了较好的应用效果。
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。
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。
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。
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。
应用推荐