DocumentCode
1952431
Title
Notice of Retraction
A study of forecasting for BCI based on ANN and GA
Author
Ming Zhong ; Feng Qiu
Author_Institution
Dept. of Transp. Planning & Manage., Dalian Maritime Univ., Dalian, China
Volume
6
fYear
2010
fDate
9-11 July 2010
Firstpage
275
Lastpage
278
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Baltic Capesize Index is very important for market operators to grip the change of Dry Bulk Shipping Market. This paper is trying to build a forecasting model for BCI (Baltic Capesize Index) based on ANN (Artificial Neural Network) optimized by GA (Genetic Algorithm). The result shows that the model can excellently extract the trend of BCI, and reflect changes in actual value with less error.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Baltic Capesize Index is very important for market operators to grip the change of Dry Bulk Shipping Market. This paper is trying to build a forecasting model for BCI (Baltic Capesize Index) based on ANN (Artificial Neural Network) optimized by GA (Genetic Algorithm). The result shows that the model can excellently extract the trend of BCI, and reflect changes in actual value with less error.
Keywords
freight handling; genetic algorithms; neural nets; transportation; ANN; BCI forecasting; Baltic capesize index; GA; artificial neural network; dry bulk shipping market; genetic algorithm; Artificial neural networks; Forecasting; Transfer functions; ANN; BCI; Forecasting; GA;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564752
Filename
5564752
Link To Document