Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI.
Borja Prior GonzálezJuan Peralta DonatePaulo CortezGermán Gutiérrez SánchezAraceli Sanchis de MiguelPublished in: EAIS (2012)
Keyphrases
- shared memory
- artificial neural networks
- forecasting accuracy
- message passing interface
- phase space reconstruction
- hybrid model
- distributed memory
- message passing
- parallel algorithm
- neural network model
- exponential smoothing
- high performance computing
- chaotic time series
- neural network
- box jenkins
- parallel computing
- parallel implementation
- parallel programming
- mackey glass
- back propagation
- radial basis function
- feed forward neural networks
- generalized regression neural network
- computational intelligence
- parallel execution
- demand forecasting
- parallel architectures
- coarse grained
- arima model
- bp neural network
- non stationary
- genetic algorithm
- predictive model
- using artificial neural networks
- short term
- multivariate time series
- parallel computers
- parallel machines
- recurrent neural networks
- multilayer perceptron
- genetic algorithm ga
- forecasting model
- moving average
- load forecasting
- multi layer perceptron
- autoregressive
- stock market
- parallel computation
- stock price
- temporal patterns
- support vector regression
- belief propagation
- autoregressive conditional heteroscedasticity