When the simulated function has both linear and nonlinear items, the DRBF trained by the new algorithm has batter ability than RBF using GAP-RBF algorithm.
当被模拟的函数同时含有线性与非线性因子时，用该方法训练的DRBF网络的性能比用GAP-RBF训练的RBF网络性能好。
For establishing the model of soft measurement of the quality of mixing rubber in rubber mixing mill a RBF algorithm that is suitable for MISO soft measurement model is studied.
针对橡胶密炼机混炼胶质量的软测量建模问题，研究了适用于MISO软测量模型的一种RBF算法。
The short-term load forecast model was established based on the AVCPSO-RBF algorithm. Using the method and history load data of Guizhou power system, the short-term load forecasting was carried out.
建立了基于该优化算法的短期负荷预测模型，利用贵州电网历史数据进行短期负荷预测。
The model was applied to establish the relations between water quantity and water quality of Sanmen Gorge reservoir. The calculated results show that better prediction was gained using RBF algorithm.
结果表明，在建立三门峡水库流量和水质的输入响应关系模型的实际应用中，R BF算法取得了较好的预测效果。
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。
The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.
将该方法用于多用户检测问题的实验结果表明，采用这种混合算法训练的RBF网络结构精简，具有很好的抗多址干扰的性能。
Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
Analysis the current RBF neural network at the same time do some improve work on its training algorithm.
对现有的RBF神经网络进行了分析，并对训练过程中使用的聚类算法进行了改进。
A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure.
在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数，使网络结构得到优化。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
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。
RBF network on line recognition, single neuron PID control and control algorithm are introduced.
介绍了RBF网络在线辨识、单神经元PID控制器和控制算法。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
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。
Compared with RBF Network, it is concluded that learning algorithm is master key to improve properties of Artificial Neural Network.
与工具箱的RBF网络相比较，说明网络的学习算法是改善网络性能的关键。
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 hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
Then an end-point forecast model was built based on the RBF neural network by analyzing the melting technology and the RBF training algorithm.
然后通过对真空感应冶炼工艺机理的深入分析以及对神经网络算法的研究，建立了基于RBF神经网络的终点预报模型。
The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.
借用打折最小平方(dls)原理构建了基于误差平方准则的DLS R BF网络的学习算法。
Aiming at the problem of weak object detection with complex background, a detection algorithm based on composite RBF network and chaotic theory is presented in this paper.
针对复杂背景中的弱目标检测问题，提出了一种基于组合r BF网络及混沌理论的检测算法。
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。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
RBF neural network method using OLS algorithm for Multi-user Detection in DS-CDMA Systems is pro-posed, and the theoretic basis and simulation analysis capability are given int his paper.
分析了采用正交最小二乘(ols)算法的RBF神经网络应用于DS - CD MA扩频通信的多用户检测的问题，给出了基于RBF网络进行多用户检测的理论依据和仿真分析性能。
In this paper, a one-step ahead predictive control algorithm based on Radial base Function (RBF) neural networks is proposed, which needs only one neural network.
提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
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