A continuation approach for training Artificial Neural Networks with meta-heuristics.
Jairo Rojas-DelgadoRafael A. Trujillo-RasúaRafael BelloPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- metaheuristic
- artificial neural networks
- optimization problems
- feed forward neural networks
- genetic algorithm
- scatter search
- evolutionary artificial neural networks
- tabu search
- combinatorial optimization problems
- combinatorial optimization
- ant colony optimization
- simulated annealing
- neural network
- multi layer perceptron
- search methods
- specific problems
- evolutionary algorithm
- vehicle routing problem
- back propagation
- path relinking
- combinatorial problems
- feedforward neural networks
- benchmark classification problems
- optimal solution
- neural network model
- computational intelligence
- training set
- feedforward artificial neural networks
- search space
- particle swarm optimization
- multilayer perceptron
- optimization method
- nature inspired
- hidden layer
- benchmark instances
- hybrid algorithms
- simulated annealing and tabu search
- set of benchmark instances
- traveling salesman problem
- training process