Intelligent system for object recognition on optical images using cascade neural networks

Authors

  • M. V. Shavranskyi IFNTUOG; 76019, Ivano-Frankivsk, Karpatska str., 15, phone (0342) 727167
  • A. V. Kuchmystenko IFNTUOG; 76019, Ivano-Frankivsk, Karpatska str., 15, phone (0342) 727167

DOI:

https://doi.org/10.31471/1993-9868-2018-1(29)-50-55

Keywords:

intelligent system, object recognition, optical images, cascade neural networks, model

Abstract

The paper is devoted to increasing the accuracy of the classification of objects on optical images by developing a structure, model and method of teaching the combined neural network and creating on its basis an intelligent image recognition system for tasks of the oil and gas industry - diagnostics, forecasting of emergency situations of technological objects.

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References

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Published

07.06.2018

How to Cite

Shavranskyi, M. V., & Kuchmystenko, A. V. (2018). Intelligent system for object recognition on optical images using cascade neural networks. Oil and Gas Power Engineering, (1(29), 50–55. https://doi.org/10.31471/1993-9868-2018-1(29)-50-55

Issue

Section

SCIENCE AND MODERN TECHNOLOGIES

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