基于时间序列相空间重构和RBF神经网络的短时交通流量预测学习方法-Based on time series phase space reconstruction and RBF neural network method of short-term traffic flow prediction study

奇异谱分解技术，与相空间重构相结合，对信号进行降噪处理-Singular spectrum analysis technology, combined with the phase space reconstruction of signal noise reduction