Checked by the experiments, the improved RBF network has less hidden neural units than before, at the same time keep the accurate of RBF based classifier.
经实验证明，基于改进后的RBF网络具有更少的隐含神经元，但仍然保持了基于RBF网络分类器的准确率。
The choice of the center of radial basis function, constructing an improved RBF network and its application to recognize the trained samples and test samples were discussed.
讨论了径向基函数中心的选取，构造了改进的RBF网络对训练样本和测试样本进行识别。
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。
Finally, the benchmark of function simulation shows that the precision and size of network are as the same as GAP-RBF, but the learning speed modified GAP-RBF is improved.
最后，函数模拟实验表明，所提出的算法在保留了原gap - RBF算法较高的精确度与紧凑的网络规模的基础上，提高了GAP - R BF对单个样本的学习速度。
The model USES an improved nearest-neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network.
该模型首先采用改进的最近邻聚类算法确定径向基函数中心，接着应用递推最小二乘法训练网络的权值。
The paper establishes RBF neural network to predict water holdup, and the measurement precision can be improved.
文章通过构建R BF神经网络，对含水率进行预测，提高了含水率测量精度。
An improved model based on RBF neural network for medium and long-term load forecasting is presented. The feasibility and validity o...
实际算例的分析表明，所提出的基于RBF神经网络的缺损数据处理方法和改进的中长期负荷预测模型是可行和有效的。
RBF neural network is proposed to approximate unknown nonlinear function. Sliding mode error is used to adaptively tune its weights online. Dynamics performance is improved.
采用RBF神经网络逼近系统未知的非线性函数，引入滑模误差对其权值进行在线自适应调整，改善动态性能。
In this paper, RBF neural network and improved BP neural network are used for training. The results have both reached good effect and accuracy.
本文使用RBF神经网络和改进的BP神经网络进行神经网络训练，其分类结果都达到了较好的效果和精度。
In this paper, RBF neural network and improved BP neural network are used for training. The results have both reached good effect and accuracy.
本文使用RBF神经网络和改进的BP神经网络进行神经网络训练，其分类结果都达到了较好的效果和精度。
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