Integration of artificial neural networks and fuzzy Delphi for stock market forecasting
By R. Kuo, L. Lee, C. Lee. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nijolė Maknickienė
- Algirdas Antano Maknickas
- Paul Yoo
- Tony Jan
- Maria H. Kim
- Omer Berat Sezer
- Liheng Zhang
- A. Ozbayoglu
Citations in the corpus
- Financial market prediction system with Evolino neural network and Delphi method (2013, methodology): “One of them, the fuzzy Delphi, was used for sales forecasting by Chang and Wang (2006) and integrated with artificial NN for stock market forecasting by Kuo et al. (1996).”
- A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010, unknown): “market and got acceptable results [207].”
- Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2005, background): “Finally, their studies showed that NNs based on both quantitative and qualitative factors are far superior to the ones based only on the quantitative factors [21] [22].”