Time series prediction algorithm based on trends point state model
基于趋势点状态模型的时间序列预测算法

The traditional linear time series prediction algorithms for time series require high linearity,and nonlinear methods are generally modeling complex and have a large computation.For the above,this paper proposed an algorithm for time series prediction which based on trends point state model.The algorithm didn't regard to whether the time series forecast significant linear features,first digged out the similar sequence on time series through the coupling between sequences,and identified the corresponding tre...