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- W2009120213 abstract "In view of the deficiency of the basic back-propagation (BP) algorithm based on steepest descent method. Bat algorithm (BA) in intelligent optimization is introduced into the training process of feed-forward neural networks, capturing the optimal solution of the objective function with a small population size and less number of iterations, and a prediction model based on BA feed-forward neural network (BA-NN) is given. By the empirical study of stock price prediction in Sany Heavy Industry, the results show that this method has advantages of frequency tuning and dynamic control of exploration and exploitation by automatic switching to intensive exploitation if necessary." @default.
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- W2009120213 date "2014-07-01" @default.
- W2009120213 modified "2023-09-23" @default.
- W2009120213 title "Stock Price Prediction Model Based on BA Neural Network and its Applications" @default.
- W2009120213 cites W2012115555 @default.
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- W2009120213 doi "https://doi.org/10.4028/www.scientific.net/amr.989-994.1646" @default.
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