DocumentCode
1647571
Title
A Multi-dimension Predictor Based on ANN and Its Application
Author
Tianzhen, Wang ; Tianhao, Tang
Author_Institution
Shanghai Maritime Univ., Shanghai
fYear
2007
Firstpage
133
Lastpage
137
Abstract
This paper presents a multi-dimension predictive model PDRNN based on the diagonal recurrent neural networks with a parallel learning algorithm. This model can be used to predict not only values, but also some points in the multi-dimension space. And also its applications in multi-dimension prediction will be discussed in the paper. Some analysis results show the significant improvement to multi parameters simultaneous prediction using the PDRNN algorithm.
Keywords
learning (artificial intelligence); recurrent neural nets; ANN; diagonal recurrent neural networks; multi-dimension predictor; parallel learning algorithm; Algorithm design and analysis; Artificial neural networks; Autoregressive processes; Electronic mail; Engines; Optimal control; Prediction methods; Prediction theory; Predictive models; Recurrent neural networks; Nonlinear time series model; adaptive predictor; artificial neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347183
Filename
4347183
Link To Document