Fusion model of wavelet transform and adaptive neuro fuzzy inference system for stock market prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/article/10.1007/s12652-019-01224-2/fulltext.html
Reference42 articles.
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2. Atsalakis GS, Valavanis KP (2009) Surveying stock market forecasting techniques–Part II: soft computing methods. Expert Syst Appl 36(3):5932–5941. https://doi.org/10.1016/j.eswa.2008.07.006
3. Billah M, Waheed S, Hanifa A (2015) Predicting closing stock price using artificial neural network and adaptive neuro fuzzy inference system ANFIS: the case of the dhaka stock exchange. Int J Comput Appl. https://doi.org/10.5120/ijca2015906952
4. Box GE, Jenkins (1970) Time series analysis: forecasting and control. Holden Day, San Francisco. https://doi.org/10.2307/1912100
5. Boyacioglu MA, Avci D (2010) An adaptive network-based fuzzy inference system (ANFIS) for the prediction of stock market return: the case of the Istanbul stock exchange. Expert Syst Appl 37(12):7908–7912. https://doi.org/10.1016/j.eswa.2010.04.045
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