Design of a software tool to determine the impact of rheological and physical properties of foodstu on human sensory perception, using Arti cial Neural Networks

This thesis researches a new idea for predicting the impact of rheological and physical properties of foodstu on human sensory perception by means of an automatic learning procedure, based on Arti cial Neural Networks (ANN).