PSO-LSSVM training and testing data.

The training and testing data in the file can be used to train the PSO-LSSVM to obtain CRI and plot the results as shown in Figs 7 and 8. (XLSX)</p

The main parameters in this paper.

The main parameters in this paper.</p

Online rolling identification results of the ship domain.

(T1) Identification results at Time T1, correspondingly, ; (T2) Identification results at time T2, correspondingly, ; (T3) Identification results at time T3, correspondingly, ; (T4) Identification results at time T4, correspondingly, ; (T5) Identification results at Time T5, correspondingly, ; (T6) Identification results at Time T6, correspondingly, .</p

Online identification outbound or inbound process data.

The own ship’s trajectory can be plotted using the position data, as shown in Fig 6. The outbound data in Excel can be used for rolling online recognition, and the results can be obtained as shown in Figs 9 to 12. Meanwhile, the inbound data in Excel can be used for rolling online recognition, and the results can be obtained as shown in Figs 13 to 16. (XLSX)</p

Fitness curve during training.

Fitness curve during training.</p

Long and short axes of ship domains by identification.

Long and short axes of ship domains by identification.</p

Long and short axes of ship domains by identification.

Long and short axes of ship domains by identification.</p

AIS track of ships entering and leaving ports.

AIS track of ships entering and leaving ports.</p

Overlying ship domains by identification.

Overlying ship domains by identification.</p

Schematic diagram of online identification of the ship domain.

Schematic diagram of online identification of the ship domain.</p