Comparison between Mahalanobis Taguchi System and Artificial Neural Networks

Abstract

Artificial neural networks (ANN) have been in use for pattern recognition,learning, classification, generalization and interpretation of noisy inputs. There is a relatively new methodology called Mahalanobis-Taguchi system (MTS) that is also being used for such applications. MTS is based on the principles of quality engineering and Mahalanobis distance (MD). There are some commonalities and differences between these methods. This paper provides a detailed comparison between these methods with the help of two case studies. The comparison is made in terms of the ability to recognize various patterns and dimensionality reduction. The paper also provides a set of guidelines that will help in choosing one of these methods depending on the situation.