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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yanhua Shao |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Computer and Information Engineering, Guizhou University for Nationalities, Guiyang, China (Yanhua Shao) |
| 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. |
| Starting Page | 119 |
| Ending Page | 122 |
| File Size | 111271 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424499854 |
| e-ISBN | 9781424499847 |
| DOI | 10.1109/URKE.2011.6007923 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-04 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Agent Object oriented modeling Biological system modeling Swarm simulation toolkit Artificial neural networks Data models Artificial neural network Back propagation algorithm Stock markets Biological neural networks Electrooptic effects |
| Content Type | Text |
| Resource Type | Article |
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