on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm.
Adriano L. I. OliveiraEricles A. MedeirosThyago A. B. V. RochaMiguel E. R. BezerraRonaldo C. VerasPublished in: Int. J. Neural Syst. (2006)
Keyphrases
- feature selection
- learning algorithm
- np hard
- k means
- computational complexity
- dynamic programming
- expectation maximization
- optimization algorithm
- rbf neural network
- search space
- radial basis function
- simulated annealing
- detection algorithm
- training process
- data sets
- support vector machine svm
- multi objective
- decision making
- genetic algorithm