Convergence of a parameter switching algorithm for a class of nonlinear continuous systems and a generalization of Parrondo's paradox.
Marius-F. DancaPublished in: Commun. Nonlinear Sci. Numer. Simul. (2013)
Keyphrases
- learning algorithm
- detection algorithm
- experimental evaluation
- preprocessing
- convergence rate
- computational cost
- dynamic programming
- cost function
- optimization algorithm
- worst case
- faster convergence
- particle swarm optimization
- multi class classification
- recognition algorithm
- linear systems
- optimal parameters
- objective function
- iterative algorithms
- convergence property
- linear complementarity problem
- optimal solution
- k means
- significant improvement
- rapid convergence
- weight update
- initial guess
- parameter space
- matching algorithm
- segmentation algorithm
- linear programming
- denoising
- np hard
- multi objective
- bayesian networks
- feature selection