Title :
A multi-dimension predictor based on PDRNN
Author :
Tianzhen, Wang ; Tianhao, Tang
Author_Institution :
Dept. of Electr. & Control Eng., Shanghai Maritime Univ., China
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).
Keywords :
data mining; geographic information systems; learning (artificial intelligence); recurrent neural nets; data mining; diagonal recurrent neural networks; geographic information system database; multi-dimension predictive model; parallel learning algorithm; Artificial neural networks; Control engineering; Data mining; Geographic Information Systems; Marine vehicles; Neural networks; Neurons; Prediction methods; Predictive models; Recurrent neural networks;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1469044
