In data mining problems, the high dimensionality of input features can affect performance process. this way, selection methods appear as a solution to problems encountered when analyzing databases with large dimensions. This article presents implementation Pearson’s linear correlation, ReliefF, Welch’s t-test and multilinear regression based algorithms forwards backward elimination direction fo...

Radial Basis Function Neural Networks (RBF NNs) are one of the most applicable NNs in the classification of real targets. Despite the use of recursive methods and gradient descent for training RBF NNs, classification improper accuracy, failing to local minimum and low-convergence speed are defects of this type of network. In order to overcome these defects, heuristic and meta-heuristic algorith...