Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm.
Volodymyr TurchenkoLucio GrandinettiPublished in: ICANN (3) (2010)
Keyphrases
- cost model
- training algorithm
- back propagation
- neural network
- query optimization
- parallel execution
- complex queries
- query processing
- multilayer perceptron
- parallel processing
- feed forward
- artificial neural networks
- query execution
- multi layer perceptron
- bp algorithm
- object oriented
- pattern matching
- range queries
- training process
- machine learning
- database