Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution.
Zakaria OussalemRochan Avlur VenkatJahnavi MalagavalliArya Kumar BhattacharyaPublished in: CEC (2021)
Keyphrases
- differential evolution
- back propagation
- neural network
- multilayer perceptron
- backpropagation algorithm
- trained neural network
- multilayer neural network
- evolutionary algorithm
- artificial neural networks
- multilayer perceptron neural network
- feed forward
- particle swarm optimization
- training algorithm
- optimization algorithm
- differential evolution algorithm
- feed forward neural networks
- genetic algorithm
- convergence speed
- mutation operator
- multi layer perceptron
- bp algorithm
- activation function
- bp neural network
- neural nets
- hidden layer
- optimization method
- fuzzy logic
- feedforward neural networks
- particle swarm optimization pso
- backpropagation neural networks
- learning algorithm
- hybrid algorithm
- numerical optimization problems
- training process
- cascade correlation
- error back propagation
- parameter optimization
- multi objective
- backpropagation neural network
- neural network ensemble
- rbf network
- genetic programming
- learning rate
- fuzzy neural network
- particle swarm optimization algorithm
- incremental learning
- recurrent neural networks
- pso algorithm
- neural network model
- decision making
- back propagation neural network
- fitness function
- simulated annealing
- solving global optimization problems