Найдено научных статей и публикаций: 3, для научной тематики: Neural network
1.
Bondar Т.Р., Tsaturyan Е.О., Deryabin М.А., Zaytsev А.А.
- Saratov Journal of Medical Scientific Research , 2013
The purpose of the study is to examine the feasibility of a self-learning neural network to predict the risk of hemo-static disorders in newborns and their mothers. Material: To solve the problems 214 patients have been under the study, of which — 107 women on a day of labor and 107 of their infa...
The purpose of the study is to examine the feasibility of a self-learning neural network to predict the risk of hemo-static disorders in newborns and their mothers. Material: To solve the problems 214 patients have been under the study, of which — 107 women on a day of labor and 107 of their infants. Morphofunctional state of platelets was assessed by automatic hematological analysis, computer cytomorphometry and platelet aggregation. These laboratory studies of patients were used as a training set for a neural network. This study used a neural network with classical structure «layer perceptron.» Results: Testing of the neural network was carried out on two female patients with physiological pregnancy and signs of imbalance of the hemostatic system. At the output of neural network based on laboratory confirmed the presence or absence of pathology of the hemostatic system in two specific patients and their newborns. Conclusion: The introduction of practical obstetric program being developed based on the neural network will reduce and prevent the development of thrombohemorrhagic complications, the protocol will optimize diagnostic and treatment activities, and an opportunity for the state of hemostasis monitor on a background of pathogenetic therapy for women and their newborns during childbirth and neonatal period.
Bondar Т.Р., Tsaturyan Е.О., Deryabin М.А., Zaytsev А.А. Application of self-learning neural network in obstetrics and neonatal practice // Saratov Journal of Medical Scientific Research, Vol. 9, Issue 2, 2013, pp. 282-286
2.
I.I.Baskin, V.A.Palyulin, N.S.Zefirov
- Journal of Chemical Information and Computer Sciences , 1997
A scheme of a neural device intended for searching direct correlations between structures and properties of organic compounds without preliminary computation of molecular descriptors (that are invariant with respect to renumbering atoms in a molecule) is suggested. The invariance of a property with ...
A scheme of a neural device intended for searching direct correlations between structures and properties of organic compounds without preliminary computation of molecular descriptors (that are invariant with respect to renumbering atoms in a molecule) is suggested. The invariance of a property with respect to renumbering atoms in a molecule is ensured by the architecture of the neural device, which is constructed by analogy with biological vision systems. A model software of the neural device was tested on several examples. The descriptive and predictive performances of the device are shown to be comparable and even overcome the performances of using molecular descriptors, such as topological indexes and substructural descriptors, especially for analyzing heterogeneous data sets including inorganic compounds. The neural device can be advantageously used in the cases when more traditional approaches fail to work or “good” molecular descriptors have not been devised yet.
J. Chem. Inf. Comput. Sci., 1997, V. 37, No. 4, P. 715-721
3.
G.N. Utlyakov, V.I. Karimov, V.M. Asadullin, A.R. Valeev
- Proc. of the 12th International Workshop on Computer Science and Information Technologies (CSIT 2010), Moscow – St. Petersburg , 2010
This paper describes the mathematical model of frequency control system development, the frequency control system based on neural network designing and frequency control processes simulation results....
This paper describes the mathematical model of frequency control system development, the frequency control system based on neural network designing and frequency control processes simulation results.
Utlyakov, G.N. Modeling of Frequency Control Systems Based on Neural Networks / G.N. Utlyakov, V.I. Karimov, V.M. Asadullin, A.R. Valeev // Proc. of the 12th International Workshop on Computer Science and Information Technologies (CSIT 2010), Moscow – St. Petersburg : USATU, 2010. V.1, p. 89–91.