Forecasting stock market short-term trends using a neuro-fuzzy based methodology

By George S. Atsalakis, Kimon P. Valavanis. 2009

317 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research

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Citations in the corpus

Using artificial neural network models in stock market index prediction (2011, methodology): “Atsalakis and Valavanis (2009a) used Adaptive Neuro Fuzzy Inference System (ANFIS) to determine the best stock trend prediction model and results show that ANFIS clearly demonstrates the potential of neurofuzzy based modeling for financial market prediction.”
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization (2014, background): “Atsalakis and Valavanis (2009) used fifteen different combinations of past stock prices to find the best ANFIS inputs for forecasting short-term trends in stock markets.”
Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area (2019, background): “2013), marketing (Atsalakis and Valavanis 2009; Nazari-Shirkouhi et al. 2013), engineering geology (Singh et al.”
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010, background): “The central idea to successful stock market prediction is achieving best results using minimum required input data and the least complex stock market model.”
An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010, background): “The review paper of Atsalakis and Valavanis (2009a) that summarizes the related literature can be useful for interested readers.”
Stock trend forecasting in turbulent market periods using neuro-fuzzy systems (2015, background): “Adopted approach’s origins can be found in (Atsalakis and Valavanis 2009).”
Elliott Wave Theory and neuro-fuzzy systems, in stock market prediction: The WASP system (2011, background): “Atsalakis and Valavanis (2009) proposed a system based on an inverted neuro fuzzy controller.”
Applications of neuro fuzzy systems: A brief review and future outline (2014, background): “Authors/years Methodology Domain Article type Ang and Quek [31] (2005) RSPOP algorithm, rough set, NF Stock market Experimental Lin et al. [32] (2006) Hybrid NF method English auction Experimental Atsalakis and Valavanis [36] (2009) ANFIS Stock market Simulation Gumus et al. [35] (2009) MILP, ANN Su”