Predicting Time Series Values with LSTM Different Scenarios for Prediction.
Alberto ArtetaKristopher AllbrightMehmet SahinogluLuis Fernando de Mingo LópezPublished in: CSCI (2022)
Keyphrases
- financial time series
- prediction accuracy
- turning points
- extreme values
- moving average
- chaotic time series
- predicting future
- prediction error
- attribute values
- recurrent neural networks
- exponential smoothing
- prediction model
- real world
- parameter values
- stock market
- prediction algorithm
- non stationary
- predicted values
- standard deviation
- dynamic time warping
- social networks
- subsequence matching
- load forecasting
- learning algorithm
- location prediction
- machine learning
- neural network
- data sets