径向基函数网络具有良好的推广能力和分类能力。
The radial basis function network (RBFN) has good extensible and classified (ability).
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
本文研究了径向基函数网络(RBFN)的分类机理问题。
The classification mechanism of a radial basis function network (RBFN) is investigated 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。
The problem of recognition of numeric text in topographic maps based on radial basis function network (RBFN) is discussed 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 classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
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。
Performance of radial basis function network highly depends on the locations of radial basis function centers.
其中，对于多层感知器网络、径向基函数网络、多项式网络尤其关注。
Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.
最后，利用径向基函数网络强大的函数逼近功能，识别内燃机气缸压力。
Finally, the cylinder pressure is identified by using radial base function (RBF) network, which is featured with the powerful functional approach.
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 article presents surface fitting by use of radial basis function network approach dealing with 3d discrete data, and visualization of 3d data is achieved.
提出了一种隐层结构自适应学习的径向基函数网络(HSARBF)水声目标分类器。
This paper proposes a hidden layer structure adaptive radial basis function (HSARBF) classifier.
同时利用基于MATLAB环境下的径向基函数网络，建立了回热系统故障诊断模型。
Meanwhile, by utilizing a radial base-function network based on a MATLAB environment established was a fault diagnostic model for the regenerative heating system.
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。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
针对文本自动分类问题，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。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
对于传统BP算法存在的收敛速度慢和易陷入局部极小值问题，人们提出了径向基函数网络。
People put forward radial basis function networks considering the conventional BP algorithm problems of slow convergence speed and easily getting into local dinky value.
通过实验比较 ，径向基函数网络较反向传播算法网络更适合于肌电信号这类非线性系统建模。
Through comparing with BP networks performance, we found that RBF networks achieve better result in and are suitable for modeling a non-linear system such as EMG.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
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。
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.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
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 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.
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；
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
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。
Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
分析了提高钢丝绳局部缺陷定量检测分辩率的相关问题，提出了一种基于径向基函数网络的局部缺陷定量逼近新方法。
Improving resolution to quantitatively evaluate wire rope local fault is very important. A new method for evaluating the local fault based on radial basis function is presented.
基于免疫进化算法，提出了一种设计径向基函数(RBF)网络的新算法——免疫径向基函数网络(IRBF)训练算法。
Based on immune evolutionary algorithm, a novel radial basis function (RBF) designing algorithm, the immune RBF (IRBF) network, was proposed.
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。
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.
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
结果表明径向基函数网络在学习速度，预测准确性及网络推广能力方面均优于BP网络，本文方法可用于加筋支挡结构的设计参考。
The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.
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。
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.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
应用推荐