An Artificial Neural Network Based Learning Method for Mobile Robot Localization

Abstract

One of the most used artificial neural networks (ANNs) models is the well-known Multi-Layer Perceptron (MLP) [Haykin, 1998]. The training process of MLPs for pattern classification problems consists of two tasks, the first one is the selection of an appropriate architecture for the problem, and the second is the adjustment of the connection weights of