Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.
AbdElRahman A. ElSaidFatima El JamiyJames HigginsBrandon WildTravis DesellPublished in: Appl. Soft Comput. (2018)
Keyphrases
- recurrent neural networks
- ant colony optimization
- long short term memory
- fault diagnosis
- metaheuristic
- neural network
- ant colony
- swarm intelligence
- combinatorial optimization problems
- feed forward
- traveling salesman problem
- ant colony optimization algorithm
- particle swarm optimization
- aco algorithm
- ant colonies
- reservoir computing
- ant colony algorithm
- recurrent networks
- genetic algorithm
- nature inspired
- aco algorithms
- function optimization
- hybrid algorithm
- metaheuristic algorithms
- echo state networks
- artificial neural networks
- nature inspired algorithms
- cascade correlation
- particle swarm optimization pso
- nonlinear dynamic systems
- foraging behavior
- artificial ants
- evolutionary strategy
- back propagation
- condition monitoring
- artificial immune system
- optimization problems
- tabu search
- minimum spanning tree
- objective function