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JOURNALS // Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika // Archive

Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2013 Number 5, Pages 34–37 (Mi vmumm435)

This article is cited in 1 paper

Mathematics

Prediction quality estimation for a two-phase scheme for solution of the “structure-property” problem

E. I. Prokhorov

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics

Abstract: The paper is focused on methods of searching for quantitative structure property relationships for predicting the activity of chemical compounds. A two-phase scheme is proposed for solving the “structure–property” problem. An estimation of the quality of prediction with the use of a two-phase scheme is obtained. In particular, it is proved that the prediction quality is improved when using non-trivial rejection rules. Results of practical tests of the proposed method for solving the “structure–property” problem are presented, which confirm the efficiency of this approach.

Key words: prediction of the properties of chemical compounds, machine learning, pattern recognition, classification, “structure–property” problem.

UDC: 004.93+004.85

Received: 11.02.2013


 English version:
Moscow University Mathematics Bulletin, Moscow University Måchanics Bulletin, 2013, 68:5, 246–248

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