IEEE

Predicting Stock Market Trends Using Long Short-Term Memory (LSTM) Networks: A Deep Learning Approach for Financial Time-Series Forecasting

Abstract: Investments in a diversified basket of assets have always been a challenge because financial markets are intrinsically unpredictable. Sometimes, simplicity cannot make good predictions. It ...
IEEE

Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural Network

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...