A combination of hidden Markov model and fuzzy model for stock market forecasting

By Md. Rafiul Hassan. 2009

121 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Arash Ghanbari
2. Hassan Shavandi
3. Esmaeil Hadavandi
4. Arash Bahrammirzaee
5. Jacinta Chan Phooi M’ng
6. M. Mehralizadeh
7. Anthony Grace

In Management Science and Operations Research

1. Arash Ghanbari
2. Hassan Shavandi
3. Esmaeil Hadavandi
4. Arash Bahrammirzaee
5. Michal Tkác
6. Robert Verner
7. Jacinta Chan Phooi M’ng
8. M. Mehralizadeh

In Signal Processing

1. Arash Ghanbari
2. Hassan Shavandi
3. Esmaeil Hadavandi
4. Arash Bahrammirzaee

Citations in the corpus

• A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010, methodology): “[258] Stock market forecasting HMM and fuzzy model ARIMA, ANN and another HMM-based forecasting model Hybrid models performs better”
• Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010, methodology): “Hassan [21] proposed a novel combination of the HMM and the fuzzy models for forecasting stock market data.”