A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
Daniel TschernutterMathias KrausStefan FeuerriegelPublished in: CoRR (2024)
Keyphrases
- neural network
- parameter optimization
- learning algorithm
- convex functions
- globally convergent
- optimization algorithm
- k means
- probabilistic model
- worst case
- simulated annealing
- expectation maximization
- search space
- convergence rate
- artificial neural networks
- objective function
- linear programming
- particle swarm optimization
- genetic algorithm ga
- convex hull
- global optimization
- image processing