Construction of generalized decision trees in the ”structure-property” problem

Авторы: Kumskov Mikhail I., Rybakova Ekaterina O., Vasilyeva Varvara O.
Журнал: IEEE Transactions on Pattern Analysis and Machine Intelligence
Том: 44
Год издания: 2022
Издательство: Institute of Electrical and Electronics Engineers
Местоположение издательства: Piscataway, NJ, United States
Аннотация: The paper describes a methodology for predicting the activity of chemical compounds using the identified cluster structureof the training sample, using the group method of data handling (GMDH) and, as a result, building a generalized decision tree forpredicting the activity of new compounds. The purpose of this work is to implement the GMDH with a nonlinear transformation in thecourse of calculations and to study the dependence of the GMDH on various input parameters. The paper was published with the financial support of the Ministry of Education and Science of the Russian Federation as part of the program of the Moscow Center for Fundamental and Applied Mathematics under the agreement №075-15-2019-1621, this research has been supported by the Interdisciplinary Scientific and Educational School of Moscow University «Brain, Cognitive Systems, Artificial Intelligence» and RFBR project 19-07-00752.
Добавил в систему: Кумсков Михаил Иванович

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