Inflow Forecasting Based On Principal Component Analysis and Long Short Term Memory.
Xiaomei ChengHossein FarahmandMojtaba YousefiReza ArghandehHao WangPublished in: DASC/PiCom/CBDCom/CyberSciTech (2021)
Keyphrases
- principal component analysis
- recurrent neural networks
- long short term memory
- principal components
- short term
- independent component analysis
- dimensionality reduction
- face recognition
- feature extraction
- dimension reduction
- covariance matrix
- exchange rate
- lower dimensional
- linear discriminant analysis
- low dimensional
- face images
- medium term
- singular value decomposition
- long term
- weather forecasting
- forecasting accuracy
- crude oil
- feed forward
- discriminant analysis
- feature space
- prediction model
- forecasting model
- training procedure
- pattern recognition
- hybrid model
- random projections
- data sets
- early warning
- financial time series
- demand forecasting
- neural classifier
- computer vision
- artificial intelligence