DocumentCode
323383
Title
A SOM network group for DOMM financial prediction system
Author
Xu, Shuziang ; Zhang, Ming
Author_Institution
Dept. of Comput. & IS, Univ. of Western Sydney, Campbelltown, NSW, Australia
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
482
Abstract
We develop a SOM (self organization mapping) neural network group to fulfill our DOMM (Dynamic Oriented Model-AutoSelection and Model-Order-AutoSelection) financial prediction system. Our experimental results show that the SOM network group can select the best prediction model and model order in an online situation with high forecasting accuracy
Keywords
financial data processing; forecasting theory; self-organising feature maps; DOMM financial prediction system; Dynamic Oriented Model-AutoSelection and Model-Order-AutoSelection; SOM network group; SOM neural network group; forecasting accuracy selection; online situation; prediction model; self organization mapping; Australia; Buildings; Computer vision; Data mining; Detectors; Heart; Neural networks; Neurons; Polynomials; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672828
Filename
672828
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