EEG BASED DIAGNOSIS OF AUTISM SPECTRUM DISORDER USING STATIC AND DYNAMIC NEURAL NETWORKS

Using Artificial Neural Network (ANN) EEG signals of children with Autism Spectrum Disorder (ASD) and non-ASD children were classified and Auto regressive (AR) Burg and LRN combination were found to have the highest classification accuracy rate.