Title :
Research about neural network approach based on agent
Author_Institution :
Coll. of Comput. & Inf. Eng., Guizhou Univ. for Nat., Guiyang, China
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;
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
DOI :
10.1109/URKE.2011.6007923
