Name
Abstract | ||
|---|---|---|
In this work, we present a novel approach for short-term vessel movement predictions in real world maritime conditions, based on an Adaptive Neuro Fuzzy Inference System. The proposed system uses real world vessel position recordings, reported by the Automatic Identification System and is capable of highly accurate future vessel position forecasting (Latitude and Longitude). The obtained results of the Adaptive Neuro Fuzzy Inference System model are compared with those of related statistical geospatial time series forecasting models, such as ARIMA and Artificial Neural Networks in order to validate the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ice.2017.8280000 | 2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC) |
Keywords | Field | DocType |
movement estimation, short-term estimation, real sea environment, ANFIS | Time series,Data modeling,Adaptive system,Computer science,Geographic coordinate system,Fuzzy logic,Autoregressive integrated moving average,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network | Conference |
ISSN | Citations | PageRank |
2334-315X | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elias k. Xidias | 1 | 53 | 7.16 |
| Dimitrios Zissis | 2 | 481 | 25.93 |