DocumentCode
438999
Title
A multi-dimension predictor based on PDRNN
Author
Tianzhen, Wang ; Tianhao, Tang
Author_Institution
Dept. of Electr. & Control Eng., Shanghai Maritime Univ., China
Volume
2
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
1359
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1469044
Filename
1469044
Link To Document