The Performance of LSTM and BiLSTM in Forecasting Time Series
Machine and deep learning-based algorithms are the emerging approaches in addressing prediction problems in time series. These techniques have been shown to produce more accurat...
Publications
2 shownA Comparison of ARIMA and LSTM in Forecasting Time Series
Forecasting time series data is an important subject in economics, business, and finance. Traditionally, there are several techniques to effectively forecast the next lag of tim...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 2,426
- Institution
- Texas Tech University
External Links
Identifiers
- ORCID
- 0000-0002-0320-352X
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.