Machine learning — Based classification in manufacturing system

This paper shows the application of inductive learning for acquisition of knowledge in manufacturing system. The software of this models, allows us to analyze the process construction rules for many variants reflecting a variety of combinations other factors. A sets of attributes selected for generating the necessary training examples for the machine learning algorithm have been used. Experiments indicate that these methods are well suited to do the classification of manufacturing problems.