Method of diagnostics of the enterprise on the basis of artificial neural network
- 1 Dr. Sc. (Med.), Deputy Director Medical Institute of Tula State University
- 2 Ph. D. (Eng.), Senior Lecturer, Southwest State University (Kursk)
- 3 Ph. D. (Eng.), Associate Professor, Southwest State University (Kursk)
Abstract
Currently, artificial neural networks are one of the fastest growing sectors of information technology. Neural network techniques are of practical use in solving a wide range of scientific and engineering problems. One such task is the diagnosis of conditions of industrial enterprises. In world practice there are a large number of models and methods of diagnostics of the state enterprises, which are mainly based on the methods of discriminant analysis. But they all have a significant limitation for practical use as weights in them is strictly fixed. To address this limitation is available using artificial neural networks.
How to cite
Павлов О.Г., Халин Ю.А., Лисицин Л.А. Метод диагностики состояния предприятия на основе искусственной нейронной сети // Наукоемкие технологии. 2014. № 12. С. 70–72.
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