We modify neural network structures to improve accuracy and to address problems not yet solved by existing architectures. In our work, neural networks have been used to extract features for diagnosing audiological pathologies based on the brain’s response to auditory stimuli. We further employed modified network structures to enhance classification accuracy through independent ensembling, which does not substantially increase computational or training time.