Multi-scale signed recurrence plot based time series classification using inception architectural networks

Ye Zhang, Yi Hou, Kewei Ouyang, Shilin Zhou

Abstract: Highlights•The reccurence plots (RP) suffer from the multi-scale and tendency confusion problems.•Multi-scale signed recurrence plots (MSRP) are proposed to handle the defects of RP for better representation abilities.•Existing time series classification (TSC) networks cannot adapt to the scale variability of MSRP effectively.•The inception fully convolutional networks (IFCN) are proposed, which better extract multi-scale features from MSRP images .•Our proposed MSRP-IFCN achieves superior performance on 85 UCR datasets.