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<div><p>LSTM (Long Short-Term Memory Network) is currently extensively utilized for forecasting financial time series, primarily due to its distinct advantages in separating the long-term from the short-term memory information within a sequence. However, the experimental results presente...

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المؤلف الرئيسي:	Hongfei Xiao (13162848) (author)
منشور في:	2025
الموضوعات:	Neuroscience Biological Sciences not elsewhere classified Information Systems not elsewhere classified stock index prices hybrid modelling approach experimental results presented currently extensively utilized xlink "> lstm lstm may struggle lstm hybrid modelling lstm hybrid model lstm &# 8217 time series containing financial time series lstms potentially misclassifying experiment results show term memory network paper combines rnns term memory information time series term memory lstm framework neural network two types primarily due paper indicate innovatively addressed forecasting process forecasting errors effectively enhanced distinct advantages clearly differentiate area worth aforementioned hypothesis
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