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Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP

  • Published:2003 Issue:1-4 Volume:43 Page:381-387
  • ISSN:0149-1970
  • Container-title:Progress in Nuclear Energy
  • language:en
  • Short-container-title:Progress in Nuclear Energy

Author:

Ayaz E.,Şeker S.,Barutçu B.,Türkcan E.

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference12 articles.

1. Neural Networks for Monitoring of HTGR from Simulated Power Operation;Ayaz,2001

2. Real Time Reactor Noise Diagnostics for the Borssele (PWR) Nuclear Power Plant;Barutçu;SMORN 8,2002

3. Finding Structure in Time;Elman;Cognitive Science,1990

4. Neural Network for Sensor Validation and Plant Wide Monitoring;Eryürek;Nuclear Europe WorldScan,1992

5. Backfitting Borssele;Gruhl;Nuclear Engineering International,1997
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