Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
Alberto GuillénIgnacio RojasJesús GonzálezHéctor PomaresLuis Javier HerreraBen PaechterPublished in: ICANNGA (1) (2007)
Keyphrases
- multi objective
- optimization algorithm
- learning algorithm
- dynamic programming
- np hard
- k means
- preprocessing
- optimal solution
- parallel implementation
- computational cost
- probabilistic model
- min max
- classification trees
- detection algorithm
- objective function
- computational complexity
- search space
- expectation maximization
- neural network
- cost function
- convergence rate
- test problems
- lower bound