Abstract
This paper presents a new multi-dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a parallel 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 are discussed in the paper. Some analysis results show the significant improvement to ship route prediction using the PDRNN algorithm in database of geographic information system (CIS).
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