Analysis of PSO, AIS and GA-based optimal Wavelet-Neural Network classifier in Brain-Robot Interface

PSO-based optimal WNN results in the best classification accuracy. Outputs of this classifier are implemented on a mobile robot named K-junior and a fixed robot named Tabriz-Puma. The experimental results show the applicability and effectiveness of these methods.