Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training.
Serge GrattonAlena KopanicakovaPhilippe L. TointPublished in: CoRR (2023)
Keyphrases
- neural network
- objective function
- optimization problems
- constrained optimization
- training process
- training algorithm
- optimization algorithm
- feedforward neural networks
- multi layer perceptron
- optimization process
- supervised learning
- backpropagation algorithm
- feed forward neural networks
- optimization procedure
- pattern recognition
- multi objective
- highly non linear
- optimization method
- neural network training
- multi layer
- multiple objectives
- penalty function
- training phase
- unconstrained optimization
- error back propagation
- genetic algorithm
- feed forward
- global optimization
- combinatorial optimization
- back propagation
- training examples
- training set
- derivative free
- neural nets
- learning algorithm
- quasiconvex
- artificial neural networks
- neural network structure
- evolutionary algorithm
- neural learning
- deterministic annealing
- test set
- optimization methods