A Simulated Annealing-based Learning Algorithm for Block-Diagonal Recurrent Neural Networks.
Paris A. MastorocostasDimitris N. VarsamisConstantinos A. MastorocostasPublished in: Artificial Intelligence and Applications (2006)
Keyphrases
- recurrent neural networks
- block diagonal
- simulated annealing
- learning algorithm
- semidefinite programming
- neural network
- feed forward
- genetic algorithm
- recurrent networks
- linear programming problems
- evolutionary algorithm
- tabu search
- back propagation
- echo state networks
- artificial neural networks
- training data
- kernel matrix
- machine learning
- augmented lagrangian
- active learning
- maximum margin
- supervised learning
- generalization ability
- multi objective
- reinforcement learning
- training examples
- learning problems
- affinity matrix
- dimensionality reduction
- training samples