Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.
Elisabet Parras-GutierrezMaría José del JesusVíctor M. RivasJuan Julián Merelo GuervósPublished in: HIS (2008)
Keyphrases
- estimation algorithm
- artificial neural networks
- high accuracy
- learning algorithm
- computational complexity
- optimization algorithm
- k means
- parameter estimation
- expectation maximization
- levenberg marquardt
- particle swarm optimization
- maximum likelihood estimation
- computational efficiency
- detection algorithm
- computationally efficient
- neural network
- probabilistic model
- dynamic programming
- preprocessing
- objective function
- similarity measure
- optimal parameters
- estimation accuracy
- experimental study
- case study
- cost function
- computational cost
- parameters estimation
- simulated annealing
- optimal solution
- design parameters
- using artificial neural networks
- parametric models
- update equations
- estimation error
- convergence rate
- kalman filter
- least squares
- matching algorithm
- support vector
- np hard
- input data
- worst case