Patent ID: 9704095
Date: 2017-07-11
CPC Classifications: G01N,G06N,G06Q

Claim:
1. A method for transcribing an odor or an aroma into a colorimetric description comprising the following steps: a first step of physico-chemical analysis of said odor or of said aroma in order to associate with it a physico-chemical description comprising a physico-chemical vector, comprising proportions associated with a predetermined set of respective volatile molecules, a second step of physico-chemical analysis of a set of so-called test odors and/or aromas in order to assign to each test odor or aroma of said set a so-called test physico-chemical description comprising a so-called test physico-chemical vector comprising test proportions associated with said predetermined set of respective volatile molecules, a step of assigning to the test odors and/or aromas respective test colorimetric descriptions comprising so-called test proportions associated with a set of respective colors, a step of assigning to the odor or to the aroma a colorimetric description comprising proportions associated with said respective colors, said assignment step comprising a first step of assigning to the odor or to the aroma a theoretical colorimetric description comprising theoretical colorimetric proportions associated with said respective colors, this first assignment step being performed by means of a first artificial neural network exhibiting a layered architecture, by presenting to it, as input, the physico-chemical vector, said first neural network, as output, said theoretical colorimetric description, said first neural network being previously subjected to a first learning step during which there are supplied to it, as input, physico-chemical vectors associated with the set of test odors and/or aromas, said first learning step being performed in a supervised manner by taking into account the test colorimetric descriptions associated with the respective set of test odors and/or aromas.