Hybridzing chemical reaction optimization and Artificial Neural Network for stock future index forecasting

Abstract

Stock index forecasting has been a cornerstone and challenging task in computational statistics and financial mathematics since last few decades. Several machine learning methods have been proposed in order to forecast the future value of stocks effectively as well as efficiently. In this paper we considered an Artificial Neural Network (ANN) combined with… (More)

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