A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines.
Leandro Aparecido PassosJoão Paulo PapaPublished in: Appl. Soft Comput. (2020)
Keyphrases
- metaheuristic
- fine tune
- boltzmann machines
- tabu search
- ant colony optimization
- optimization problems
- simulated annealing
- boltzmann machine
- fine tuning
- search space
- learning tasks
- optimal solution
- particle swarm optimization
- genetic algorithm
- optimization method
- pid controller
- lower bound
- objective function
- learning algorithm