Group method of data handling with fuzziness for solving the ”structure-property” problem

Авторы: Kumskov Mikhail I., Rybakova Ekaterina O.
Журнал: IEEE Transactions on Fuzzy Systems
Том: 30
Год издания: 2022
Издательство: Institute of Electrical and Electronics Engineers
Местоположение издательства: Piscataway, NJ, United States
Аннотация: The paper describes a realization of methodology for predicting the activity of chemical compounds using the identified cluster structure of the training sample, based on the group method of data handling (GMDH) and, as a result, building a generalized decision tree for predicting the activity of new compounds. The purpose of this work is to implement the GMDH with a nonlinear (fuzzy) feature transformation and to ivestigate the GMDH models quality 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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