rbf神经网络k均值聚类分析程序，时间序列预测方面应用。程序简洁易懂。-rbf neural network k-means clustering analysis procedures, time series forecasting applications. The program easier to understand.

仿真效果非常好，用于图像处理的独立分量分析，基于K均值的PSO聚类算法。- Simulation of the effect is very good, Independent component analysis for image processing, K-means clustering algorithm based on the PSO.

可以得到很精确的幅值、频率、相位估计，基于K均值的PSO聚类算法,光纤陀螺输出误差的allan方差分析。- You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, allan FOG output error variance analysis.