Stock closing price prediction based on sentiment analysis and LSTM

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Can investor sentiment be used to predict the stock price? Dynamic analysis based on China stock market

(2017) Kun Guo et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Computational Intelligence and Financial Markets: A Survey and Future Directions

(2016) Rodolfo C. Cavalcante et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

(2015) Rajeev Sharma et al.   Entropy

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool

(2010) Ingrid Daubechies et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS