Neural networks with on-the-fly confidence-estimation

Artificial neural networks are an established solution for classification. Many neural networks consist of perceptrons (e.g. multilayer-perceptron networks). In this paper, we propose a concept to extract reliability information of a perceptron-based neural networks decision. Therefore, we extend the conventional perceptron and suggest a simple training strategy.