Perturbations, Accuracy and Robustness in Neural Networks
Cesare Alippi, Giovanni Vanini · IGI Global eBooks · 2005
A robustness analysis for neural networks, namely the evaluation of the effects induced by perturbations affecting the network weights, is a relevant theoretical aspect since weights characterise the “knowledge space” of the neural model and, hence, its inner nature.