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
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;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672828
