Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction

@article{Asadi2012HybridizationOE,
  title={Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction},
  author={Shahrokh Asadi and Esmaeil Hadavandi and Farhad Mehmanpazir and Mohammad Masoud Nakhostin},
  journal={Knowl.-Based Syst.},
  year={2012},
  volume={35},
  pages={245-258}
}
Artificial Intelligence models (AI) which computerize human reasoning has found a challenging test bed for various paradigms in many areas including financial time series prediction. Extensive researches have resulted in numerous financial applications using AI models. Since stock investment is a major investment activity, Lack of accurate information and comprehensive knowledge would result in some certain loss of investment. Hence, stock market prediction has always been a subject of interest… CONTINUE READING
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A class of hybrid morphological perceptrons with application in time series

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A class of hybrid morphological perceptrons with application in time series , Knowl

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