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- W3194438041 abstract "In view of the deficiency of the standard back-propagation algorithm based on steepest descent method, a new kind of optimization strategy called invasive weed optimization (IWO) algorithm is introduced into the training process of feed-forward neural networks, and then a prediction model based on IWO feed-forward neural network (IWO-NN) is given. By the dynamic adjustment of standard deviation of the distribution of offspring individuals in IWO, the local convergence speed of networks is improved and the defect of trapping into a local optimum is reduced. By the empirical study of stock price prediction in Sany Heavy Industry, the results show that this method has better global astringency, robustness, and it is insensitive to initial values." @default.
- W3194438041 created "2021-08-30" @default.
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- W3194438041 date "2014-07-01" @default.
- W3194438041 modified "2023-09-23" @default.
- W3194438041 title "Stock Price Prediction Model Based on IWO Neural Network and its Applications" @default.
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- W3194438041 doi "https://doi.org/10.4028/www.scientific.net/amr.989-994.1635" @default.
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