Prediction of complex organic compounds activity with artificial neural networks.

Prediction of complex organic compounds activity with artificial neural networks.

The analysis of neural networks applicability for complex organic compounds activity prediction is provided. The regulation algorithm is offered to improve the prediction properties of the networks.

Bibliographic Details
Main Authors: E. V. Burljaeva, P. A. Ushakov
Format: Article
Language:Russian
Published: MIREA - Russian Technological University 2008-08-01
Series:Тонкие химические технологии
Subjects:
нейронные сети, компьютерная химия, производные дитиокарбаминовой кислоты, tibo, структура и свойства органических соединений
Online Access:https://www.finechem-mirea.ru/jour/article/view/1519
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spelling doaj-198824e9169b4dc4a8625dfec5ad4eb32021-07-28T13:23:51ZrusMIREA - Russian Technological UniversityТонкие химические технологии2410-65932686-75752008-08-013479831514Prediction of complex organic compounds activity with artificial neural networks.E. V. Burljaeva0P. A. Ushakov1M.V. Lomonosov Moscow State University of Fine Chemical Technologies, 86, Vernadskogo pr., Moscow 119571M.V. Lomonosov Moscow State University of Fine Chemical Technologies, 86, Vernadskogo pr., Moscow 119571The analysis of neural networks applicability for complex organic compounds activity prediction is provided. The regulation algorithm is offered to improve the prediction properties of the networks.https://www.finechem-mirea.ru/jour/article/view/1519нейронные сети, компьютерная химия, производные дитиокарбаминовой кислоты, tibo, структура и свойства органических соединений
collection DOAJ
language Russian
format Article
sources DOAJ
author E. V. Burljaeva
P. A. Ushakov
spellingShingle E. V. Burljaeva
P. A. Ushakov
Prediction of complex organic compounds activity with artificial neural networks.
Тонкие химические технологии
нейронные сети, компьютерная химия, производные дитиокарбаминовой кислоты, tibo, структура и свойства органических соединений
author_facet E. V. Burljaeva
P. A. Ushakov
author_sort E. V. Burljaeva
title Prediction of complex organic compounds activity with artificial neural networks.
title_short Prediction of complex organic compounds activity with artificial neural networks.
title_full Prediction of complex organic compounds activity with artificial neural networks.
title_fullStr Prediction of complex organic compounds activity with artificial neural networks.
title_full_unstemmed Prediction of complex organic compounds activity with artificial neural networks.
title_sort prediction of complex organic compounds activity with artificial neural networks.
publisher MIREA - Russian Technological University
series Тонкие химические технологии
issn 2410-6593
2686-7575
publishDate 2008-08-01
description The analysis of neural networks applicability for complex organic compounds activity prediction is provided. The regulation algorithm is offered to improve the prediction properties of the networks.
topic нейронные сети, компьютерная химия, производные дитиокарбаминовой кислоты, tibo, структура и свойства органических соединений
url https://www.finechem-mirea.ru/jour/article/view/1519
work_keys_str_mv AT evburljaeva predictionofcomplexorganiccompoundsactivitywithartificialneuralnetworks
AT paushakov predictionofcomplexorganiccompoundsactivitywithartificialneuralnetworks
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