A study was made on prediction of the breaking area of 3-d chip former using RBF neural networks.
研究了RBF神经网络在可转位三维槽型刀片的断屑范围预测中的应用。
RBF Neural Networks (NN) based control strategy is proposed to compensate the disturbance moment.
提出了一种基于RBF网络扰动力矩补偿的控制技术。
The constituting process and training method of the improved BP and RBF neural networks are put forward.
给出了改进的BP网络和RBF网络的构造过程和训练方法。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法。
Another method of RBF neural networks attributions selection based on a separability criterion ranking is presented in this paper.
提出了一种可分性判据排序的RBF神经网络属性选择方法。
It has important theoretical significance and application value how to find an effective learning algorithm of RBF neural networks.
如何找到一种更加行之有效的RBF神经网络学习算法具有重要的理论意义和应用价值。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
The RBF neural networks for image reconstruction were trained in MATLAB environment. The training samples were obtained by using finite element method.
在MATLAB环境下对所研究的图像重建用RBF神经网络进行训练，并通过有限元法获得训练所需要的训练样本集。
By the improved BP and RBF neural networks, short-term electric load is forecast and training (convergence) rate and forecasting precision are analyzed.
利用改进的BP网络和RBF网络进行了短期电力负荷预测，并对训练的收敛速度和预测精度进行了分析。
The results show that this start model features simple procedure, quick to learn and precision when use RBF neural networks for engine model identification.
结果表明，用r BF神经网络辨识发动机起动模型，具有方法简单、学习速度快、辨识精度较高等优点。
According to the drawback of the models existed which are too complicated, we set up a nonlinear temperature model of MCFC using RBF neural networks identification technology.
针对现有的熔融碳酸盐燃料电池(MCFC)模型过于复杂的弊端，本文应用rbf神经网络辨识方法建立了MCFC的温度非线性模型。
The image reconstruction algorithm based on RBF neural networks uses RBF networks to build the mapping relationship between the capacitance value and the image gray-scale value.
基于RBF神经网络的图像重建方法的实质就是用RBF神经网络建立电容测量值到图像灰度值的映射关系模型。
The nonlinear mapping relation among the PSD of vehicle body centroid vertical acceleration, pitching angular acceleration and the road surface were found by RBF neural networks.
应用rbf神经网络建立了汽车车身质心垂直加速度功率谱密度、俯仰角加速度功率谱密度和路面功率谱密度之间的非线性映射模型。
Based on the gaining the water quality index through monitor system for wastewater treatment in papermaking, wastewater treatment models by BP and RBF neural networks are studied.
利用造纸废水处理监控系统取得表征废水水质的各项指标，在此基础上研究了基于BP网络和RBF网络的造纸废水处理建模。
The validity and accuracy of modeling are tested by simulations, and the simulation results of the comparison between RBF neural networks and BP neural networks identification are given.
应用仿真对建模的有效性和精度进行了检验，并与BP神经网络辨识的效果进行了对比。
In this paper, a nonlinear adaptive control scheme for missile control system with mismatched uncertainties is proposed on the basis of RBF neural networks and inverse control technology.
在导弹系统存在非匹配不确定性的情况下，提出了一种基于RBF神经网络和反演控制技术的神经网络自适应导弹控制系统的设计方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
Due to the function equivalence between RBF neural networks and fuzzy inference system, fuzzy experience method is adopted to select the centers and the numb er of basis function networks.
由于RBF网络和模糊推理系统具有函数等价性，采用模糊经验值方法选取网络中心值和基函数数目。
The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.
采用信号四阶和六阶统计量提取信号特征，使用新设计的误差函数训练RBF神经网络，使得识别的效率和正确度得到了明显的改善。
Presents the RBF neural networks based on clustering analysis is applied in TCM inspection of tongue diagnosis, to construct a neural networks model of TCM inspection of tongue intelligent diagnosis.
研究基于聚类分析的径向基神经网络用于中医舌诊诊断，构建一个中医舌诊智能诊断的神经网络模型。
Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks.
通过实验研究，体现了RBF神经网络作为一种局部全连接网络，训练速度快，克服了BP网络的局部极小点问题。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
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。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
It can train polynomial function, neural networks, or radial basis function (RBF) classifiers.
它可以对多项式函数，神经网络，径向基函数进行训练。
The modelling problem of multivariable system using radial basis function (RBF) neural networks is studied.
采用径向基函数（RBF）神经网络进行多变量系统的建模研究。
A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.
小波神经网络可以看作是以小波函数为基底的一种函数连接型网络，也可以认为是径向基函数(RBF)网络的推广。
Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.
小波神经网络可以看作是以小波函数为基底的一种函数连接型网络，也可以认为是径向基函数(RBF)网络的推广。
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