Time series data analysis using probabilistic and neural network
Chiu-Che Tseng 0
0Texas A&M University-Commerce
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.134How to use a DOI?
- Bayesian network, neural network, portfolio
- Artificial intelligence decision support system is always a popular topic in providing the human user with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence decision support systems in the investment domain – the goal of investment decision-making is to select an optimal portfolio that satisfies the investor’s objective, or, in other words, to maximize the investment returns under the constraints given by investors. In this study we applied several artificial intelligence systems like Influence Diagram (a special type of Bayesian network) and Neural Network to get experimental comparison analysis to facilitate users to intelligently select the best portfolio.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chiu-Che Tseng PY - 2006/10 DA - 2006/10 TI - Time series data analysis using probabilistic and neural network BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.134 DO - https://doi.org/10.2991/jcis.2006.134 ID - Tseng2006/10 ER -