Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training.
Serge GrattonAlena KopanicákováPhilippe L. TointPublished in: SIAM J. Optim. (2023)
Keyphrases
- neural network
- objective function
- optimization problems
- training process
- constrained optimization
- feedforward neural networks
- training algorithm
- feed forward neural networks
- optimization procedure
- optimization algorithm
- back propagation
- pattern recognition
- multi layer perceptron
- fuzzy logic
- weighted sum
- derivative free
- backpropagation algorithm
- optimization methods
- steepest descent method
- neural learning
- self organizing maps
- unconstrained optimization
- artificial neural networks
- stochastic gradient descent
- neural network training
- neural network structure
- quasiconvex
- hidden layer
- fuzzy neural network
- training data
- global optimization
- neural nets
- training phase
- multi layer
- activation function
- decision variables
- greedy algorithm
- recurrent networks
- neural network model
- optimization process
- optimization method
- test set
- training examples
- linear programming
- error back propagation
- training set
- multilayer neural network