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What is An Improved Deep Learning Model For Predicting Stock Market Price about?

This document presents a novel deep learning framework for predicting stock market closing prices, utilizing a combination of empirical wavelet transform (EWT) for data preprocessing, long short-term memory (LSTM) networks for prediction, and outlier robust extreme learning machine (ORELM) for error correction. The proposed hybrid model incorporates dropout strategies and particle swarm optimization (PSO) for improved accuracy and stability in predictions. Experimental results demonstrate that this framewor

Author

Soleiman Hashemi

Language

EN