Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture.
Radhwane DerrazFarrah Melissa MuharamNoraini Ahmad JaafarKeng-Yap NgPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- neural network
- multivariate time series
- financial time series
- pattern recognition
- multi variate
- streaming time series
- stock market
- back propagation
- feed forward
- artificial neural networks
- sequential data
- dynamic time warping
- neural network is trained
- chaotic time series
- temporal data
- periodic patterns
- stock market data
- surprising patterns
- chronic hepatitis
- fuzzy artmap
- learning vector quantization
- rare events
- fuzzy neural network
- network architecture
- network model
- radial basis function
- self organizing maps
- non stationary
- feed forward neural networks
- symbolic representation
- stock price
- data mining tasks
- temporal dependencies
- autoregressive
- euclidean space
- change point detection
- pattern discovery
- euclidean distance