Hybrid technologies in intelligent systems for medicines identification
- 1,2 Dr.Sc. (Eng.), Professor, Department of Software of Computing Machinery, South-West State University, Kursk, Russia
- 3 Ph.D. (Hist.), Professor, Department of Labour Protection and Environment, South-West State University, Kursk, Russia
Keywords:
hybrids structuresneural networkswith macrolayerstraining samplingdecisions makingobject identification
Abstract
There has proposed use of hybrid systems of recognition for objects. identification on the basis of its geometric characteristics under condition of different factors influence. Decisions making is carried out in every group of informative features with the following decisions aggregation. Hybrid approach to the identification has been realized on the basis of neural-net paradigm containing probabilistic neural networks with macrolayers.
How to cite
Томакова Р.А., Филист С.А., Томаков М.В. Гибридные технологии в интеллектуальных системах идентификации лекарственных средств // Нейрокомпьютеры: разработка, применение. 2014. № 6. С. 31,66–34,68.
References
- R. А. Tomakova- Dr.Sc.(Eng.), Professor, Department of Software of ComputingMachinery, South-West State University, Kursk, Russia. E-mail:tomakova@rambler.ru
- S. А. Filist - Dr.Sc.(Eng.), Professor, Department of Software of Computing Machinery,South-West State University, Kursk, Russia. E-mail:SFilist@gmail.com
- М. V. Tomakov - Ph.D. (Hist.), Professor, Department of Labour Protection andEnvironment, South-West State University, Kursk, Russia. E-mail:tomakov_m_v@rambler.ru