KFU. Card publication. Artificial neural networks model for assessment of optimal conditions of hydrogenation reactions

KAZAN
FEDERAL UNIVERSITY

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ARTIFICIAL NEURAL NETWORKS MODEL FOR ASSESSMENT OF OPTIMAL CONDITIONS OF HYDROGENATION REACTIONS

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2018

Authors, employees of KFU

Varnek Aleksandr , author

Madzhidov Timur Ismailovich, author

Mukhametzyanova Diana Aydarovna, author

Nugmanov Ramil Irekovich, author

Other authors

A. Delova; O. Klimchuk

Authors, postgraduates KFU

Afonina Valentina Aleksandrovna, postgraduate kfu

Mukhametgaleev Ravil Nailevich, postgraduate kfu

Bibliographic description in the original language

Artificial neural networks model for assessment of optimal conditions of hydrogenation reactions / T. Madzhidov, V. Afonina, A. Delova, D. Mukhametzyanova, R. Nugmanov, R. Mukhametgaliev, O. Klimchuk, A. Varnek // 22nd EuroQSAR symposium: Thessaloniki, Greece, 16 September - 20 September 2018: abstract book. - Greece, 2018. - P. 186.

Keywords

Artificial neural networks, assessment of optimal conditions, chemoinformatics

Place of publication

Thessaloniki

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=195593&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Varnek Aleksandr	ru_RU
dc.contributor.author	Madzhidov Timur Ismailovich	ru_RU
dc.contributor.author	Mukhametzyanova Diana Aydarovna	ru_RU
dc.contributor.author	Nugmanov Ramil Irekovich	ru_RU
dc.contributor.author	Afonina Valentina Aleksandrovna	ru_RU
dc.contributor.author	Mukhametgaleev Ravil Nailevich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Artificial neural networks model for assessment of optimal conditions of hydrogenation reactions / T. Madzhidov, V. Afonina, A. Delova, D. Mukhametzyanova, R. Nugmanov, R. Mukhametgaliev, O. Klimchuk, A. Varnek // 22nd EuroQSAR symposium: Thessaloniki, Greece, 16 September - 20 September 2018: abstract book. - Greece, 2018. - P. 186.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=195593&p_lang=2	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Artificial neural networks	ru_RU
dc.subject	assessment of optimal conditions	ru_RU
dc.subject	chemoinformatics	ru_RU
dc.title	Artificial neural networks model for assessment of optimal conditions of hydrogenation reactions	ru_RU
dc.type	Conference proceedings in international journals and collections	ru_RU