Zobrazeno 1 - 7
of 7
pro vyhledávání: '"S. A. Kirlan"'
Publikováno v:
Optical Memory and Neural Networks. 22:65-71
We have formed a sequence of steps for evaluating properties of chemical compounds. Our experiments have proved that complex-valued perceptrons can be used for predicting chemical properties. An algorithm has been developed to additionally train comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9aeef0177a5c4eeb5dc2e9e5df99ed3
https://doi.org/10.3103/s1060992x13010013
https://doi.org/10.3103/s1060992x13010013
Publikováno v:
Optical Memory and Neural Networks. 21:11-16
We consider two ways of identification of structures of chemical compounds--software SARD-21 and the complex-valued perceptron. Results of computational experiments showed the advantage of a neural network. In addition the complex-valued perceptron c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ddb4823f6a2308bb3256c759b5e8fa
https://doi.org/10.3103/s1060992x1201002x
https://doi.org/10.3103/s1060992x1201002x
Autor:
Mansur S. Miftakhov, L. A. Tyurina, L. Sh. Sementeeva, F. S. Zarudii, N. A. Ivanova, S. A. Kirlan, E. A. Kantor, N. Zh. Baschenko, I. B. Betelina
Publikováno v:
Pharmaceutical Chemistry Journal. 40:424-429
A complex of mathematical models for the recognition of antiulcer and uterotonic activity of prostaglandin analogs is developed based on SARD computer system, which provides for the activity recognition on a level of 86–98%. The most significant st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c1e45beb0c4b755e279ba797a7bdf13
https://doi.org/10.1007/s11094-006-0145-0
https://doi.org/10.1007/s11094-006-0145-0
Autor:
G. G. Garifullina, E. A. Kantor, Yu. B. Monakov, S. A. Kirlan, A. V. Kirlan, A. Ya. Gerchikov, L. A. Tyurina, V. R. Khairullina
Publikováno v:
Russian Chemical Bulletin. 55:1322-1327
A mathematical model for prediction of antioxidant activity (AOA) with a recognition level of ∼90% was developed using the SARD-21 computer system. Based on this model, structural modification of ionol and 5-hydroxy-6-methyluracil was carried out.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d01e195be8c3ae1d1fb534bedda0df7
https://doi.org/10.1007/s11172-006-0421-x
https://doi.org/10.1007/s11172-006-0421-x
Publikováno v:
Gigiena i sanitariia. (3)
A relationship was studied between the structure, anthelmintic and herbicidal activities and toxicity of the derivatives of benzimidazole, sulfonyl urea, and hydrocarboxylic acids. Reliable mathematical recognition and prediction models were develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3d9af94ff3767207f7fceddfb2e5bda1
https://pubmed.ncbi.nlm.nih.gov/18590154
https://pubmed.ncbi.nlm.nih.gov/18590154
Publikováno v:
Gigiena i sanitariia. (2)
A method has been proposed to recognize and predict the range values of acute toxicity (LD50) and for this a system has been developed. The essence of the method is to gradually decrease the predictable toxicity ranges for the test substances in a st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cd9876fe773d93c050111088c13bfd98
https://pubmed.ncbi.nlm.nih.gov/15918223
https://pubmed.ncbi.nlm.nih.gov/15918223
Autor:
E. A. Kantor, S. A. Kirlan, V. T. Gilmkhanova, F. S. Almukhametova, I. A. Tjurina, A. A. Tjurin, A. V. Kirlan
Publikováno v:
ChemInform. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48de12168cf30b46465dbf40647e783
https://doi.org/10.1002/chin.200305225
https://doi.org/10.1002/chin.200305225