Training of an artificial neural network in the diagnostic system of a technical object-Reference-Cited by-同舟云学术

Training of an artificial neural network in the diagnostic system of a technical object

Published:2012-07-08 Issue:7-8 Volume:22 Page:1581-1590
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Duer Stanisław,Zajkowski Konrad,Płocha Ireneusz,Duer Radosław

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-012-1052-9.pdf

Reference20 articles.

1. Barlow RE, Proschan F (1995) Mathematical theory of reliability. Wiley, New York, p 335

2. Białko M (2000) Podstawowe właściwości sieci neuronowych i hybrydowych systemów ekspertowych. Wyd. Politechniki Koszalińskiej, Koszalin (in Polish)

3. Birolini A (1999) Reliability engineering theory and practice. Springer, New York 221

4. Duer S (2009) Artificial neural network-based technique for operation process control of a technical object. Def Sci J DESIDOC 59(3):305–313

5. Duer S (2010) Expert knowledge base to support the maintenance of a radar system. Def Sci J 60(5):531–540. http://publications.drdo.gov.in/ojs/index.php/dsj

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Fully Convolutional Siamese Networks for Visual Object Tracking Based on Response Behaviour Analysis;Sensors;2022-08-30

2. Operational Analysis of Fire Alarm Systems with a Focused, Dispersed and Mixed Structure in Critical Infrastructure Buildings;Energies;2021-11-25

3. Diagnostics of the Technological System State for Phosphorus Production Based on Deep Neural Networks;Lecture Notes in Networks and Systems;2021-09-16

4. The analysis of the operational process of a complex fire alarm system used in transport facilities;Building Simulation;2021-05-28

5. A reliability-operational analysis of a track-side CCTV cabinet taking into account interference;Bulletin of the Polish Academy of Sciences Technical Sciences;2021-03-02