DocumentCode
3128975
Title
Research about neural network approach based on agent
Author
Shao, Yanhua
Author_Institution
Coll. of Comput. & Inf. Eng., Guizhou Univ. for Nat., Guiyang, China
Volume
2
fYear
2011
fDate
4-7 Aug. 2011
Firstpage
119
Lastpage
122
Abstract
Aiming at the limitation of research on predicting stock performance, the approach to neural network based on agent has been reported in the paper. This thesis focuses on the development and the simulation of a stock market performance model of utilizing the neural network approach base on agent. First the basic concepts behind this type of neural network based on agent were discussed, then, in order to understand the model, which was implemented as a software simulation. Some of the more application ideas were got into.
Keywords
multi-agent systems; neural nets; stock markets; agent-based model; neural network; stock market performance; Artificial neural networks; Biological neural networks; Biological system modeling; Data models; Electrooptic effects; Object oriented modeling; Stock markets; Agent; Artificial neural network; Back propagation algorithm; Swarm simulation toolkit;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-9985-4
Electronic_ISBN
978-1-4244-9984-7
Type
conf
DOI
10.1109/URKE.2011.6007923
Filename
6007923
Link To Document