经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向-via the Internet presents a clustering algorithm based on the ant colony RBFNN. Ant use the parallel algorithm o

基于聚类的径向基神经网络算法，matlab实现-Cluster-based radial basis function neural network algorithm, matlab implementation

聚类算法：聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network

基于径向基（rbf）神经网络的预测控制器设计中对神经网络进行聚类分析-Based on radial basis function (RBF) cluster analysis to the neural network forecast controller design of neural networks

神经网络RBF Isodata算法计算得到iris数据集的聚类中心，从而进行分类。并包含iris数据集-RBF Isodata neural network algorithm to get the cluster center iris data set, thus classified. And contains iris data set