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Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques

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References

1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
2014On the Modeling of Financial Time Series387 cited
2002Predicting stock price using fuzzy grey prediction system270 cited
2005Artificial neural networks with evolutionary instance selection for financial forecasting192 cited
2002Mining stock price using fuzzy rough set system172 cited

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2010Financial time series forecasting with machine learning techniques: A survey157 cited
2017A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price88 cited
2018ACFLN: artificial chemical functional link network for prediction of stock market index64 cited
2018Sales-forecasting of Retail Stores using Machine Learning Techniques60 cited
2015Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices55 cited
2015Cuckoo optimized SVM for stock market prediction42 cited
2012Index prediction with neuro-genetic hybrid network: A comparative analysis of performance39 cited
2015Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting37 cited

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