Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks

• 作 者: ZHENGXin CHENTian-Lun
• 机 构: InstituteofPhysics
• 出 处: 理论物理通讯：英文版
• 发表日期: 2003年2X期
• 关键词: 神经网络 非线性时间序列 聚类分析 预测 径向基函数神经网络 RBF网络

In the research of using Radial Basis Function Neural Network (RBF NN) forecasting nonlinear time series, we investigate how the different clusterings affect the process of learning and forecasting. We find that k-means clustering is very suitable. In ord