ANN-BASED MULTIPLE DIMENSION PREDICTOR FOR SHIP ROUTE PREDICTION

Tianhao Tang, Tianzhen Wang

Abstract

This paper presents a new multiple dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a combined learning algorithm. This method can be used to predict not only values, but also some points in the multi-dimension space. And also its applications in data mining will be discussed in the paper. Some analysis results show the significant improvement to ship route prediction using the PDRNN model in database of geographic information system (GIS).

References

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Paper Citation


in Harvard Style

Tang T. and Wang T. (2005). ANN-BASED MULTIPLE DIMENSION PREDICTOR FOR SHIP ROUTE PREDICTION . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 52-59. DOI: 10.5220/0001168200520059


in Bibtex Style

@conference{icinco05,
author={Tianhao Tang and Tianzhen Wang},
title={ANN-BASED MULTIPLE DIMENSION PREDICTOR FOR SHIP ROUTE PREDICTION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={52-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001168200520059},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - ANN-BASED MULTIPLE DIMENSION PREDICTOR FOR SHIP ROUTE PREDICTION
SN - 972-8865-31-7
AU - Tang T.
AU - Wang T.
PY - 2005
SP - 52
EP - 59
DO - 10.5220/0001168200520059