Traditional and neural networks algorithms: applications to the inspection of marble slab

This article describes the traditional algorithms of deterministic and stochastic cluster analysis and classification (a priori and with learning), by comparing the results obtained using the classifiers based on neural networking techniques in supervised learning (multilayer perceptron with backpropagation). The selected samples, chosen to check the algorithms have been marble slabs of “Sierra de la Puerta” type