طبقه بندی متقارن ورونس با استفاده از طراحی مواد

To solve the materials classification problem, we propose a fast, exhaustive approach. We propose to test every feature (chemical property), every pair of features, every three features, etc., against every classifier architecture from a certain group of classifiers known as Support Vector Machines. This approach generalizes Pierre Villars’ work to higher dimensions and more operations. We have at present duplicated his result in identifying the Mendeleev Number as the single best feature, and we have produced a new result for the case of two features: namely, we have identified the Mendeleev number with the valence electron number as the best combination of two features.