Proceedings ArticleDOI
Dynamic financial forecasting with automatically induced fuzzy associations
Yazann Romahi,Qiang Shen +1 more
- Vol. 1, pp 493-498
TLDR
A novel technique for financial forecasting derived from a fuzzy association induction algorithm is presented, allowing the development of an evolving rule based expert system that is continuously taken into account as time progresses and thus the rulebase does not become outdated.Abstract:
The past decade has witnessed significant growth in developing intelligent tools for financial forecasting. Expert systems were quickly shown to be inadequate for the tasks required in financial forecasting due to their static nature. As a result, interest started to move towards soft computing despite the fact that comprehensibility is often of paramount concern in financial forecasting. Merging the domains of fuzzy logic and rule induction paved the way for the emergence of successful generalisation techniques with high comprehensibility. In this paper, we present a novel technique for financial forecasting derived from a fuzzy association induction algorithm, allowing the development of an evolving rule based expert system. In such a way, changing market dynamics are continuously taken into account as time progresses and thus the rulebase does not become outdated. Simulations carried out show promising results for this approach.read more
Citations
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Journal ArticleDOI
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
TL;DR: Comparative research review of three famous artificial intelligent techniques in financial market shows that accuracy of these artificial intelligent methods is superior to that of traditional statistical methods in dealing with financial problems, especially regarding nonlinear patterns.
Journal ArticleDOI
A fusion model of HMM, ANN and GA for stock market forecasting
TL;DR: A fusion model by combining the Hidden Markov Model (HMM), Artificial Neural Networks (ANN) and Genetic Algorithms (GA) to forecast financial market behaviour is proposed and implemented.
Proceedings ArticleDOI
Stock market forecasting using hidden Markov model: a new approach
Md. Rafiul Hassan,Baikunth Nath +1 more
TL;DR: HMM offers a new paradigm for stock market forecasting, an area that has been of much research interest lately, and is presented for forecasting stock price for interrelated markets.
Journal ArticleDOI
A rough-fuzzy approach for generating classification rules
Qiang Shen,Alexios Chouchoulas +1 more
TL;DR: This paper presents an approach that integrates a potentially powerful fuzzy rule induction algorithm with a rough set-assisted feature reduction method, and the integrated rule generation mechanism maintains the underlying semantics of the feature set.
Journal ArticleDOI
A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories
Kuang Yu Huang,Chuen-Jiuan Jane +1 more
TL;DR: It is found that the hybrid method not only has a greater forecasting accuracy than the GM(1,1) method, but also yields a greater rate of return on the selected stocks.
References
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