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Russian Chemical Reviews, 2003, Volume 72, Issue 7, Pages 629–649
DOI: https://doi.org/10.1070/RC2003v072n07ABEH000754
(Mi rcr527)
 

This article is cited in 28 scientific papers (total in 28 papers)

Neural networks as a method for elucidating structure–property relationships for organic compounds

N. M. Halberstama, I. I. Baskinb, V. A. Palyulinb, N. S. Zefirovb

a N.D. Zelinskii Institute of Organic Chemistry, Russian Academy of Sciences
b Lomonosov Moscow State University, Faculty of Chemistry
Abstract: The published data devoted to the use of the neural network approach in the simulation of structure–property relationships for organic compounds are reviewed. The basic principles of the neural network simulation are discussed along with the characteristic features of the neural network approach typical of the representation and classification of structural chemical data. Brief information on neural network models of spectral characteristics, reactivities, physicochemical properties and biological activities of organic compounds is presented.
Received: 23.07.2002
Bibliographic databases:
Document Type: Article
Language: English
Original paper language: Russian


Citation: N. M. Halberstam, I. I. Baskin, V. A. Palyulin, N. S. Zefirov, “Neural networks as a method for elucidating structure–property relationships for organic compounds”, Usp. Khim., 72:7 (2003), 706–727; Russian Chem. Reviews, 72:7 (2003), 629–649
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  • https://doi.org/10.1070/RC2003v072n07ABEH000754
  • https://www.mathnet.ru/eng/rcr/v72/i7/p706
  • This publication is cited in the following 28 articles:
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