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Financial High-Frequency Time Series Forecasting Based on Sub-Step Grid Search Long Short-Term Memory Network

机译：基于子步骤网格搜索长短期内存网络的金融高频时间序列预测

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Shihua Luo; Cong Tian;
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2. Evaluation of deep learning with long short-term memory networks for time series forecasting in supply chain management [J] . Massimo Pacella, Gabriele Papadia Procedia CIRP . 2021,第Suppla1期

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3. Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm [J] . Heydari Azim, Nezhad Meysam Majidi, Pirshayan Elmira, Applied Energy . 2020,第Nova1期

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4. Short-term load forecasting based on the grid method and the time series fuzzy load forecasting method [C] . Hong Li, Yang Zhao, Zizi Zhang, International Conference on Renewable Power Generation . 2015

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5. A neuro-wavelet model for the short-term forecasting of high-frequency time series of stock returns. [D] . Ortega, Luis F. 2013

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6. Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life [O] . Jehn-Ruey Jiang, Juei-En Lee, Yi-Ming Zeng 2020

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7. Decomposition and Forecast for Financial Time Series with High-frequency Based on Empirical Mode Decomposition [O] . Hong Lei 2011

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Financial High-Frequency Time Series Forecasting Based on Sub-Step Grid Search Long Short-Term Memory Network

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