Hybrid Approach Based on Combination of Backpropagation and Evolutionary Algorithms for Artificial Neural Networks Training by Using Mobile Devices in Distributed Computing Environment.
Iliyan ZankinskiMaria BarovaPetar TomovPublished in: LSSC (2017)
Keyphrases
- back propagation
- artificial neural networks
- evolutionary artificial neural networks
- evolutionary algorithm
- training algorithm
- mobile devices
- feed forward neural networks
- distributed computing environment
- backpropagation algorithm
- feedforward neural networks
- feed forward
- neural network
- hybrid model
- multilayer perceptron neural network
- bp algorithm
- hidden layer
- multilayer perceptron
- multilayer neural network
- activation function
- distributed computing
- levenberg marquardt
- bp neural network
- backpropagation neural network
- neural nets
- multi layer perceptron
- distributed computing systems
- multi objective
- backpropagation neural networks
- genetic algorithm
- differential evolution
- distributed processing
- radial basis function
- fitness function
- error back propagation
- distributed environment
- fuzzy logic
- multi layer
- genetic algorithm ga
- cloud computing
- machine learning
- computing environments