Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks.
Cristian UbalGustavo L. Di GiorgiJavier E. Contreras-ReyesRodrigo SalasPublished in: Mach. Learn. Knowl. Extr. (2023)
Keyphrases
- artificial neural networks
- long term
- feed forward
- short term
- recurrent neural networks
- feed forward back propagation
- temporal dependencies
- neural network
- back propagation
- using artificial neural networks
- stock market
- non stationary
- dynamic time warping
- dependency graphs
- recurrent networks
- genetic algorithm ga
- genetic algorithm
- spiking neural networks
- feed forward neural networks
- multivariate time series
- application of artificial neural networks
- multilayer perceptron
- computational intelligence
- evolutionary artificial neural networks
- learning rules
- activation function
- subsequence matching
- stock price
- data mining tasks
- metadata
- neural models
- soft computing
- neural network model
- chronic hepatitis
- spatial and temporal
- database